1 00:00:00,990 --> 00:00:05,360 Okay. Could you just start by saying your name and what your current position is? 2 00:00:05,370 --> 00:00:11,850 And also tell me what the position was when you were in the biomedical engineering department. 3 00:00:12,060 --> 00:00:19,530 So I'm Chechen. She can call me Jane, and then now I'm a seal at a classroom cell limited. 4 00:00:19,800 --> 00:00:24,030 And before, when I was working in the coffee project, I was a postdoc in Abbey. 5 00:00:24,930 --> 00:00:33,300 Okay, that's great. And yeah, I mean, I'd like to hear more about you and about how you got to where you are now. 6 00:00:33,330 --> 00:00:41,160 So if you'd like to take you through. How did you first of all, how did you decide that science or engineering were going to be your career? 7 00:00:41,580 --> 00:00:47,700 So I think ever since I was a child, I've always had a passion about science. 8 00:00:47,820 --> 00:00:53,190 My parents. So my dad is a physics professor and my mom is a teacher. 9 00:00:53,340 --> 00:00:58,170 So they kind of exposed me with science quite a lot and I found it interesting as well. 10 00:00:58,180 --> 00:01:01,950 So that's kind of like, go on the path. And where did you grow up? 11 00:01:02,400 --> 00:01:05,940 In Taiwan? So I only come to the UK for my Ph.D. 12 00:01:06,640 --> 00:01:10,260 Yeah, in 2013. So now is about ten years ago. 13 00:01:10,740 --> 00:01:20,040 Yeah. So I think and then I think alongside the passion, I always wanted to do something contributing to the society, 14 00:01:20,040 --> 00:01:25,140 like partly also because of my parents are teaching and in contributing themselves quite often as well. 15 00:01:25,380 --> 00:01:33,060 So I think that kind of just formulating myself to go on the science pathway or originally thinking to stay in academia, 16 00:01:33,060 --> 00:01:39,840 but actually called it and this project kind of helped me transition to a completely different career path. 17 00:01:39,990 --> 00:01:43,200 Well, we'll get to that later. Let's stick with what happened before. 18 00:01:43,530 --> 00:01:47,490 So what did you study at undergraduate level? So as biomedical engineering. 19 00:01:47,790 --> 00:01:51,930 So I more focusing on the cell biology site. 20 00:01:52,080 --> 00:02:03,780 And so I've done quite a lot of research in stem cell bio materials, trying to use different new biomaterials or stem cell for cell therapy. 21 00:02:03,990 --> 00:02:07,560 And so was still that I was still back at your undergraduate. 22 00:02:07,650 --> 00:02:10,640 Yeah, yeah, yeah. So you were already doing that? Yeah. Oh, right. 23 00:02:10,650 --> 00:02:20,190 Like, I think for the first year we have like two years research project, so I'm already doing a lab and then kind of expose myself serious topics. 24 00:02:20,220 --> 00:02:23,790 Okay. Yes, yes. And to a kind of basic research environment is okay. 25 00:02:24,210 --> 00:02:30,630 Yes. Yes. So in addition to just coursework, I also joined a lab already in my third year. 26 00:02:30,930 --> 00:02:35,090 In my second year, I join an Asian content petition. 27 00:02:35,100 --> 00:02:40,229 So it's like a genetically modified circuit competition. 28 00:02:40,230 --> 00:02:51,330 So people just get to have different novel ideas and then you can design the gene circuitry in different organisms and also do it by yourself. 29 00:02:51,720 --> 00:03:00,270 And then there's like exhibition of what you can do with all this toolkits and then how that can be used for real world application. 30 00:03:00,270 --> 00:03:04,820 So that's one of the competition. The first thing that fall under the heading of synthetic biology. 31 00:03:05,120 --> 00:03:15,449 Yeah, that's like biology. So that's also, oh, although like during my undergrad, the main project that I'm working on is stem cell, 32 00:03:15,450 --> 00:03:20,850 but I kind of get a bit sense of synthetic biology and molecular biology as well. 33 00:03:21,170 --> 00:03:26,220 Mm hmm. Very interesting. And how did you come to choose to come to the UK for your Ph.D.? 34 00:03:26,940 --> 00:03:30,000 It's also kind of luck, I guess. 35 00:03:30,290 --> 00:03:40,290 It says I applied to ten U.S. University and one university here because that's 36 00:03:40,290 --> 00:03:45,120 the only scholarship line it managed to fight between Taiwan and Imperial College. 37 00:03:45,480 --> 00:03:52,170 So, yeah. And then while I'm waiting for all the other admission of I got the offer first 38 00:03:52,260 --> 00:04:00,299 for the UK one and I feel like maybe that's something that I to come here. 39 00:04:00,300 --> 00:04:08,460 And then also the professor that I'm working with, Molly Stephens, she's really one of the pioneer in the field, so I kind of just come here. 40 00:04:08,670 --> 00:04:15,090 Mm hmm. Mm hmm. And what was the topic of your Ph.D. is about neuro differentiation. 41 00:04:15,100 --> 00:04:27,460 So I use different type of biophysical stimuli, for example, electrical stimulation, mechanical or even topographical. 42 00:04:27,660 --> 00:04:33,720 So different morphology of the substrate and so on to see how that affects stem cell differentiation. 43 00:04:34,050 --> 00:04:40,110 So, for example, the phone one might make your stem cells more prone to differentiate into neurones, 44 00:04:40,560 --> 00:04:49,340 while the hotter one will be more for bone differentiation because that correlated to what the environment is. 45 00:04:49,890 --> 00:04:59,820 And then, yeah, so I try to understand like how different will it affect them and also the mechanism behind it so that we can fine tune it later on. 46 00:05:00,420 --> 00:05:04,410 So that's kind of my whole thing. Yeah. Yeah, that sounds really interesting. 47 00:05:05,340 --> 00:05:10,590 And. And then was there a post, a post op position advertised here at Oxford? 48 00:05:10,590 --> 00:05:15,210 How did you come to or did you have connections with the Oxford Group while you were still at Imperial College? 49 00:05:16,380 --> 00:05:29,740 It's also so I browse across like different posts and then so I found one post like the one that I applied to is kind of industrial post up. 50 00:05:29,790 --> 00:05:35,070 So it was funded by a company that Professor Tay is collaborating with. 51 00:05:35,400 --> 00:05:40,050 And, and I found it very interesting because like I've always wanted to do research, 52 00:05:40,260 --> 00:05:45,569 but I've never really get the chance to push research towards real world application. 53 00:05:45,570 --> 00:05:51,390 And then biomedical engineering in general is trying to bridge that to different worlds. 54 00:05:51,600 --> 00:05:58,049 So I found this one actually fit my original thoughts quite, quite a lot. 55 00:05:58,050 --> 00:06:03,960 And then I applied to Professor Trace Group, and then after I submitted the application, 56 00:06:04,260 --> 00:06:09,120 I later on learned that actually my PI also got connections with Professor. 57 00:06:09,180 --> 00:06:14,040 Well, I think not so sorry about the other PI called pi in the green as well. 58 00:06:14,340 --> 00:06:24,900 So yeah, you kind of all link up. And what was the project that you were originally that you originally came to to work on for the Post. 59 00:06:25,050 --> 00:06:29,790 My Yeah. That one is also for neuro engineering. 60 00:06:29,790 --> 00:06:36,900 So is kind of like making different type of biomaterials for neural repair in general. 61 00:06:37,110 --> 00:06:47,910 And then another such project is having the individual model for brain like drug screening for brain diseases or for brain injury. 62 00:06:48,180 --> 00:06:56,010 So they are like two different. It's kind of more or less similar, but it's basically the same and use for different applications. 63 00:06:56,400 --> 00:07:03,060 Yeah, So what it sounds like and this is very interesting, this crossover between engineering and life science, 64 00:07:03,360 --> 00:07:14,310 that you're taking living cells and and treating them almost as mechanical more than mechanical electrical components. 65 00:07:14,850 --> 00:07:16,079 Um, and, 66 00:07:16,080 --> 00:07:26,040 and really testing them at an engineer wood to see how they behave under different circumstances and how other environmental factors impact on them. 67 00:07:26,490 --> 00:07:37,020 Yeah, Yeah. I think what I felt like particularly interesting is we all think that physical stimuli could be very well. 68 00:07:38,160 --> 00:07:44,460 S For me, I'm one of the life science people, so I always felt that you'll be, you know, 69 00:07:44,700 --> 00:07:50,370 quite organised, quite standardise, whatever input you get, that there's an output. 70 00:07:50,760 --> 00:07:59,490 And then we always feel like biology or life science, there might be more, um, things that is unpredictable. 71 00:07:59,970 --> 00:08:08,850 But the more that I dig into that, the more that I actually find life science like life as it is. 72 00:08:08,910 --> 00:08:19,170 It's just amazing because it's also responds to the stimuli in a way that although not exactly the same, 73 00:08:19,440 --> 00:08:27,690 but because of a hundred million things behind it, and then you regulate it itself and then the output actually comes to be in the same direction. 74 00:08:27,870 --> 00:08:35,760 So for example, my neurone and your neurone might not be the same, but they still responds to the same stimuli in a similar way. 75 00:08:36,180 --> 00:08:46,920 The way that it connects itself might be different, that there's a mechanism that everybody follow to make sure that that you go towards that route. 76 00:08:47,280 --> 00:08:56,550 Although the connection might be slightly different, but it's just amazing to see how it can get everyone towards the same place 77 00:08:56,850 --> 00:09:04,100 because they are all a lot of trivial mechanism and like circuits behind it. 78 00:09:04,110 --> 00:09:08,190 But it's all fine tuned so everybody can get to this stage, right? 79 00:09:08,220 --> 00:09:16,740 Right. Yeah. So it's a question of really understanding the very, you know, the multiplicity of environmental stimuli and the, 80 00:09:17,640 --> 00:09:21,810 Yeah, the environment in which the neurone is trying to develop and grow. 81 00:09:22,140 --> 00:09:26,670 And once you understand all that you can see how it harmonises all those things. 82 00:09:26,670 --> 00:09:32,490 Yeah, yeah, yeah. Really good. And so I think we're No, no, we're not yet. 83 00:09:34,320 --> 00:09:41,399 So tell me a bit more about Professor Traits Group because it's, I mean there's a lot of different projects going on. 84 00:09:41,400 --> 00:09:48,810 Yeah, but one of the things that's very interesting is that he's set up a couple of collaborations with Chinese institutes, 85 00:09:49,680 --> 00:09:53,610 and that was something that you, you also got involved with working on. 86 00:09:53,610 --> 00:09:59,100 Tell me a little bit about that. Yeah. So I think Professor Space Group is a very nice environment because. 87 00:09:59,930 --> 00:10:05,479 It's very like everybody work on different projects and everybody coming from different backgrounds. 88 00:10:05,480 --> 00:10:09,800 Some are more materials, some are even physics and some are biology. 89 00:10:10,070 --> 00:10:16,970 And then when people come in together having different knowledge, there are a lot of stimuli. 90 00:10:17,390 --> 00:10:22,130 When we're like, well, pumping out, when we are just having daily conversation and so on. 91 00:10:22,140 --> 00:10:30,470 So I think that environment is definitely supporting us to grow and even extend our research answers to all different aspects. 92 00:10:30,920 --> 00:10:39,409 And then I think the collaboration between China or some even other groups in the UK or around the world is also really nice. 93 00:10:39,410 --> 00:10:48,230 So you can see well, mainly utilise the resources across different groups and then also make the research 94 00:10:49,760 --> 00:10:56,060 I think interesting because you see how you don't need to do everything by yourself. 95 00:10:56,070 --> 00:11:04,130 You use your strengths and then collaborate with people who already got the, the, the capability to process certain experiments. 96 00:11:04,250 --> 00:11:12,950 And then you just make the research very efficient. You don't need to spend a lot of time putting a lot of efforts on getting to a certain stage, 97 00:11:13,280 --> 00:11:16,820 and then you can still see your project flourishing in the same way. 98 00:11:18,080 --> 00:11:22,410 But you personally had a project manager role with one of it. 99 00:11:22,510 --> 00:11:30,409 Was it Bridget? She said that about that the second year of my postdoc. 100 00:11:30,410 --> 00:11:37,070 So I take on the project manager role for Geechee, and then that's also to tell us what she was, all of us, what Geechee is. 101 00:11:37,220 --> 00:11:46,850 So you spell it out to it's a jungle. Sue And well, it's been a while so I don't know exact way, but I think it is the Research Institute of Jiangsu. 102 00:11:47,000 --> 00:11:52,640 Jiangsu. Industrial XI Training. 103 00:11:53,780 --> 00:11:57,410 Industrial Technology Partnership Institute. 104 00:11:57,480 --> 00:12:05,480 Yeah, yeah, yeah. I mean Jiangsu Industrial Technology Partnership Institute. 105 00:12:05,480 --> 00:12:11,540 Yes. So yeah. So that's a that's a Chinese and higher education institution. 106 00:12:12,260 --> 00:12:18,350 Research institution. Yeah. I think that it's not just well it's yeah, it's a global move on the research institute. 107 00:12:18,350 --> 00:12:26,120 Yeah. And then they are trying to bridge the research in China to different well other research 108 00:12:26,120 --> 00:12:30,889 institute across the world and then particularly focusing on industrial partnership. 109 00:12:30,890 --> 00:12:35,180 Yeah yeah. And then there was a specific joint project called Impact. 110 00:12:35,510 --> 00:12:42,070 Oh yeah. Yes that's, yeah. So we got the Impact Institute here that I think funded a couple of, 111 00:12:42,080 --> 00:12:49,880 of Oxford University's research in physics, biomedical engineering as well and different aspects. 112 00:12:50,180 --> 00:12:59,420 And then at the time when I joined, I think there's only one project that is by Professor Dunlop. 113 00:13:00,800 --> 00:13:08,850 I think it's done a lot. Someone could recall a new face. 114 00:13:10,380 --> 00:13:19,710 Not to worry. I can look it up later. Yeah. Yeah. So he was one of the leading professor in, like, there's only one project. 115 00:13:19,830 --> 00:13:23,490 But by the time I joined, I tried to set up another research. 116 00:13:23,520 --> 00:13:30,659 Cole So there is like £900,000 of research funding invested by Geechee. 117 00:13:30,660 --> 00:13:35,160 And then we have like an open call for all people in the university. 118 00:13:35,460 --> 00:13:47,220 That was a very nice experience because we had kind of have the two conference one here and the other one in China hosted for this research call. 119 00:13:47,520 --> 00:13:54,300 And then also to reach out like the researchers here in the UK and also researches in in China and them. 120 00:13:55,110 --> 00:14:00,150 I think it's quite nice because it's a open call for different fields. 121 00:14:00,540 --> 00:14:04,709 So there are people from everywhere joining. 122 00:14:04,710 --> 00:14:13,500 But also when we go to when we went to China, we can also see the culture difference in terms of how we do research, 123 00:14:13,500 --> 00:14:16,860 how we think of the same thing, and then that's definitely one. 124 00:14:17,070 --> 00:14:21,320 Then I know some forget voice overs. 125 00:14:21,330 --> 00:14:27,959 And how did you come to decide that that kind of project management role was going to 126 00:14:27,960 --> 00:14:31,440 be something that would be interesting for you as well as your own lab based research? 127 00:14:31,650 --> 00:14:39,450 I think at that time in person that was actually Professor Play asked me if I would be interested. 128 00:14:39,450 --> 00:14:43,570 And then that role is part time. Yes, I am part time, Yes. 129 00:14:43,850 --> 00:14:48,120 Yeah. So it's kind of for me to have a chance to still work on my project. 130 00:14:48,540 --> 00:14:54,960 But at the same time, I like to see what else are there. 131 00:14:55,290 --> 00:15:01,469 And then again, it's a kind of a management role for between industry and academia. 132 00:15:01,470 --> 00:15:08,580 And then there's something that I am always interested in to just try to see how research can become reality. 133 00:15:08,700 --> 00:15:18,870 Like, although I had a post up post that's kind of collaborating with the the company that's funding the project, but still there is. 134 00:15:19,960 --> 00:15:22,960 I think it could be also because of the essence of my research. 135 00:15:23,200 --> 00:15:29,349 It's definitely taking a lot longer time to realise because this neurone brain injury type of thing. 136 00:15:29,350 --> 00:15:38,470 So I still haven't really get the chance to see, oh, I can actually make a product or how the product actually be in real life. 137 00:15:38,950 --> 00:15:44,560 And then that's why but I also kind of jumping in support of that role. 138 00:15:44,650 --> 00:15:49,720 Mm hmm. So let's finally arrive at COVID. Can you remember where you were? 139 00:15:49,750 --> 00:16:00,040 I've asked all my interviews. When you first heard that there was a serious respiratory illness coming out of Wuhan, China, and that it might. 140 00:16:00,460 --> 00:16:06,160 Yeah, it might. And when did you come to realise that it might become globally serious? 141 00:16:06,340 --> 00:16:17,020 There's actually quite interesting. So I remember that in early December, that's actually the conference that I mentioned. 142 00:16:17,110 --> 00:16:23,820 Oh, yes, A bunch of us actually travelled to China for, for the conference, for the second conference, which that team is that it. 143 00:16:23,860 --> 00:16:30,070 That's in Jiangsu. And then so probably that's why that we haven't been. 144 00:16:30,340 --> 00:16:36,120 Well early December, I don't think it's the time there's a huge outbreak just yet. 145 00:16:36,130 --> 00:16:40,780 But just before then. And then by the time that I fly back to the UK. 146 00:16:41,110 --> 00:16:48,010 And then I started to get a lot of message, like from family, friends, like, everything's okay. 147 00:16:48,100 --> 00:16:56,130 I got it. And then actually, I, I completely missed that part because I just flight back and then not realising there is an outbreak. 148 00:16:56,140 --> 00:17:05,020 The by the time that we sold the news and then that's something that I started to be like, Oh, this could be serious. 149 00:17:05,020 --> 00:17:11,020 And then I actually just missed that. Otherwise I might be locked down in China was very, very long time. 150 00:17:11,320 --> 00:17:19,730 So it's kind of like a, a strange feeling because you're quite close by and then you didn't realise it until the flight back. 151 00:17:19,760 --> 00:17:32,260 Yeah. Yeah. Ooh. And when did the people in your lab realise that there was a problem arising as the pandemic reached the UK, 152 00:17:32,260 --> 00:17:37,060 that there was a problem that your skills could be used to to address. 153 00:17:37,450 --> 00:17:49,930 I think I remember as more Professor 21 day, even in I think that's around the Chinese New Year time actually, 154 00:17:50,290 --> 00:17:55,900 and that if February and January or early February, I think at that time, 155 00:17:55,910 --> 00:18:01,480 especially in January and then I just got his message or phone call, I can't recall. 156 00:18:01,750 --> 00:18:10,200 They said basically grouping a few of the people in the group and then just kind of have a brainstorming session together saying that, 157 00:18:10,300 --> 00:18:13,300 oh, well, this is something urgent. 158 00:18:13,690 --> 00:18:19,720 And then he got this idea, and then also with Professor Huang as well, 159 00:18:19,930 --> 00:18:26,340 they kind of already discuss and think that my background might be able to help with this project. 160 00:18:26,350 --> 00:18:33,670 And then do you like to join this, you know, emerging research group? 161 00:18:34,090 --> 00:18:44,050 And then at that time I just found it well, partly because this is a disease that is causing quite a huge impact at the moment. 162 00:18:44,620 --> 00:18:49,150 And so definitely happy to you to see if there's anything that can help. 163 00:18:49,630 --> 00:18:57,430 And second, also, I think at that time, University has already decided to shut down all the facilities. 164 00:18:57,430 --> 00:19:05,780 So if you don't work on anything related to to COVID, you actually couldn't wait. 165 00:19:06,580 --> 00:19:11,559 So there's kind of like all different things combined together by thing, really, 166 00:19:11,560 --> 00:19:19,990 when Professor told me about that is like the project itself is very open, so is like what you can do to help. 167 00:19:20,160 --> 00:19:23,290 Hmm. And then, and then people starting together. 168 00:19:23,290 --> 00:19:28,749 And I remember it's also in this room like a 7 p.m. pretty much every day. 169 00:19:28,750 --> 00:19:35,200 We have, like, a group meeting all together. Well, then the group meeting and the group who participate in this project, 170 00:19:35,440 --> 00:19:42,160 we kind of just brainstorming, troubleshoot, and professors are buying KFC nearby. 171 00:19:43,510 --> 00:19:52,690 And then it's just growing ideas, trying to like really push the research to have certain outcome as soon as possible. 172 00:19:52,690 --> 00:19:56,080 Because we all know that the time is quite precious. 173 00:19:56,860 --> 00:20:02,800 The longer that is struck, then the the worst that that the disease might be. 174 00:20:03,100 --> 00:20:07,090 So that's kind of like the urgency I can. Yeah, it's. 175 00:20:07,930 --> 00:20:13,530 It was, I would say, definitely exhausted, but it was excited. 176 00:20:13,540 --> 00:20:17,110 At the same time, you just feel like you're actually doing something. 177 00:20:17,440 --> 00:20:28,000 And then because the time is quite urgent and then you see the results kept coming out, you also feel like you're progressing every single day. 178 00:20:28,270 --> 00:20:32,920 And then the thing is, working together as a whole team from different disciplines. 179 00:20:33,520 --> 00:20:41,950 The the conversation, this dual elation between people is also quite inspiring as well. 180 00:20:42,400 --> 00:20:50,350 So what was the problem that you were setting out to solve? And then we'll talk about how the technology worked to solve that problem that was there. 181 00:20:50,890 --> 00:20:55,540 So we are trying to see whether we can detect COVID. 182 00:20:55,750 --> 00:21:00,070 So it's a diagnostic more a diagnostic pathway. 183 00:21:00,100 --> 00:21:03,490 So at that time, really all there was available was PCR testing. 184 00:21:04,570 --> 00:21:07,760 Which was, you know, could take 48 hours to get a result. 185 00:21:07,830 --> 00:21:14,950 Yeah, a bit longer. And also that you might need more complicated equipment as well because they're different thermal cycle. 186 00:21:15,400 --> 00:21:24,490 And then I think a lot of the time is like especially in China, the resources might not be able to get into such certain area. 187 00:21:24,520 --> 00:21:33,850 And then that's also the tricky bit as well. So you were thinking all the time about reaching communities that wouldn't have access to high tech labs. 188 00:21:34,360 --> 00:21:45,050 Yeah. So I think the goal was really how can we do tests as fast as we can and also as many as we can in a very short period of time? 189 00:21:45,080 --> 00:21:51,400 Yes, it's kind of minute to minute target, because the more that we test, the more then we can prevent it from spreading. 190 00:21:51,970 --> 00:21:59,440 And we have to remind people that even anyone listening to this, that at that time in early 2020, we didn't have lateral flow tests. 191 00:21:59,830 --> 00:22:04,870 And we we now we've all now had so many so thrown away so many lateral flow 192 00:22:04,870 --> 00:22:08,319 tests that you forget that actually for almost the whole of that first year, 193 00:22:08,320 --> 00:22:15,400 we didn't have lateral flow tests. So there wasn't a quick way of establishing whether or not somebody was infected. 194 00:22:16,060 --> 00:22:20,200 So so there was a great need for something that could do the job more quickly. 195 00:22:20,610 --> 00:22:27,970 MM Yeah, Yeah. Or at that time, because it's a very early stage, some of the tests hasn't been wi fi as good. 196 00:22:28,360 --> 00:22:33,950 That's true. Yeah. Yes. Yes. So tell me, first of all, explain that technology to me. 197 00:22:33,970 --> 00:22:39,400 How does it work and how did it differ from the existing PCR test? 198 00:22:39,400 --> 00:22:43,900 So it's called LAMP. So is it mediated amplification? 199 00:22:44,440 --> 00:22:50,230 Well, isothermal amplification. So basically, the primer design is different. 200 00:22:50,530 --> 00:22:55,000 So they have like specific loop primers. Well, now we're going to need to explain. 201 00:22:55,570 --> 00:23:04,000 Oh, what do you mean by a loop of primer? So what do you say? Maybe I'll just get back to what are the key difference? 202 00:23:04,010 --> 00:23:11,650 Yes. So as it's isothermal amplification, so is only one single temperature. 203 00:23:11,980 --> 00:23:18,250 So while it's only neat1, the PCR in general and multiple thermal cycle. 204 00:23:18,490 --> 00:23:24,639 So you need to get down to about 90 degree and then jumping down from the primer to a 205 00:23:24,640 --> 00:23:32,530 new so or different temperature that will require more complicated like equipments. 206 00:23:32,710 --> 00:23:36,100 To be able to do that well, you have to do it and then cool it and then heat it. 207 00:23:36,670 --> 00:23:42,400 Yes. And then for lamp in general, it's just one and then the time is also different. 208 00:23:42,730 --> 00:23:49,300 So the primer design, although PCR also need to have a primer design. 209 00:23:49,360 --> 00:23:52,570 So the prior the primer is a little piece of DNA or RNA. 210 00:23:52,920 --> 00:24:00,490 So it's a DNA. DNA, Yes. So the target is the RNA viral, which is in the virus. 211 00:24:00,610 --> 00:24:05,650 What you're trying to detect is the viral RNA. Yeah. And then we use the DNA. 212 00:24:05,830 --> 00:24:13,320 Well, very small DNA sequence to target the gene target they wanted to do for PCR. 213 00:24:13,540 --> 00:24:21,400 We only have a pair. So T Palmer's forward and backward to get a specific region. 214 00:24:21,880 --> 00:24:26,530 Well, the lamp, we will have minimal two pairs. 215 00:24:26,950 --> 00:24:33,430 So the way that is design is ones that get to the target region. 216 00:24:34,330 --> 00:24:38,709 The other pair will also be able to form certain structures. 217 00:24:38,710 --> 00:24:42,010 They can amplify the amplicon itself, 218 00:24:42,640 --> 00:24:51,430 so the results will be you will start to target all different outcomes and then that results 219 00:24:51,430 --> 00:24:58,569 in faster amplification compared to PCR is always only targeting the original well, 220 00:24:58,570 --> 00:25:07,270 the same piece of the template and well, the other one you could have multiple different forms of the template after Simpson amplification. 221 00:25:07,490 --> 00:25:15,200 And then that results in a higher, well, faster amplification and amplification, which has an amount of it. 222 00:25:15,560 --> 00:25:22,420 So the amplification sorry if I'm sounding a bit stupid about the amplification, it means that does that mean that the RNA is actually multiplying? 223 00:25:22,940 --> 00:25:28,160 Yes. Yes. So you're getting more and more and more that and you get a kind of a chain reaction, really, which is. 224 00:25:29,030 --> 00:25:36,230 So, yeah. So basically, after Primus gets in that thing starting to amplify. 225 00:25:36,500 --> 00:25:42,470 And then we started to get a lot of the the different type of ethanol. 226 00:25:42,500 --> 00:25:49,829 Yes, yes, yes. Yeah. And then for them, so for PCR in general, people are using fluorescence signals. 227 00:25:49,830 --> 00:25:56,570 So it's they are using a fluorescent dye. So that will targeting double stranded DNA. 228 00:25:56,900 --> 00:26:06,020 And then we ret by fluorescence detector. And then that again is a more complicated equal than because you need it for us since we do it and so on. 229 00:26:06,530 --> 00:26:15,470 For them, there are multiple ways for reading all the results, so they are like a chain directly by colour change. 230 00:26:16,400 --> 00:26:22,220 That's because of the page. A difference. Well, more applications during the amplification. 231 00:26:22,520 --> 00:26:27,290 So that's kind of the the indicating with the we are using is we know, right. 232 00:26:27,290 --> 00:26:34,580 So when there's amplification the colour will change from pink to yellow because the pitch drops. 233 00:26:34,610 --> 00:26:40,280 Did you say phenol. Red. Yellow. You said yes. And then that's how we kind of detect it. 234 00:26:40,280 --> 00:26:52,249 And then there is also different ways you can starting to see the colour change from transparent to a little bit white. 235 00:26:52,250 --> 00:27:01,720 So is a turbulent tapestry. So you kind of detecting that in and then they have to position and you can detect it as well. 236 00:27:01,730 --> 00:27:08,960 But our test is mainly focusing on the colour nature because it's very easy to read. 237 00:27:09,170 --> 00:27:12,860 And then also you don't really need a lot of training. 238 00:27:13,070 --> 00:27:18,080 People can understand the concept and the full workflow easily. 239 00:27:19,220 --> 00:27:25,880 And so did you have to start by doing some kind of proof of principle that this, this technology would, would work with COVID? 240 00:27:26,240 --> 00:27:32,209 And, and so did you have to collaborate with people who were actually dealing with sick patients to get samples, 241 00:27:32,210 --> 00:27:36,590 or did you use genetically engineered coded DNA for testing? 242 00:27:36,860 --> 00:27:49,580 So initially we were when we were kind of going on, we definitely have to well, the first proof of principle is we do the synthetic DNA fragments. 243 00:27:49,760 --> 00:27:53,149 So that's exactly the same as what we designed to target. 244 00:27:53,150 --> 00:27:58,820 And so that's a first step. The second step, we order quite a few synthetic RNA. 245 00:27:59,090 --> 00:28:02,809 So people do have well, some is commercially available. 246 00:28:02,810 --> 00:28:08,390 They are like the full genome of the virus, different virus strings. 247 00:28:08,720 --> 00:28:19,070 And then we use that as proof of principle. And then our difficulty at that time is, after all of this proof of principle experiments, 248 00:28:19,160 --> 00:28:30,170 we can't really get a hold on clinical samples because especially at that time, I think in the UK there on that many cases, no just yet. 249 00:28:30,620 --> 00:28:40,219 And then that's how the Oscar kind of supporters are running a lot of clinical trials there in China. 250 00:28:40,220 --> 00:28:49,370 I see. So Oscar let's we haven't talked about Oscar. This is another collaborative research institute the research centre in China. 251 00:28:49,380 --> 00:28:54,890 Yeah. So I think is through universities and Research institute is in such a way as well. 252 00:28:55,350 --> 00:28:58,640 And then yeah, that's, that's another initiative of Professor Tsui. 253 00:28:58,690 --> 00:29:10,950 Yes. Yeah. Yeah. And then I think that's a very, is also quite exciting because we finally managed to get to really the front line. 254 00:29:11,210 --> 00:29:24,980 Yeah. These days on our research. And also I think the speed is really surprising at that time because usually from like for clinical trials you 255 00:29:24,980 --> 00:29:33,470 probably need to fill in a lot of forms getting all the exam like review and so on to finally get the samples. 256 00:29:33,860 --> 00:29:35,809 But because of the urgency in China, 257 00:29:35,810 --> 00:29:47,719 we actually managed to get maybe I think initially just 21 single hospital that that is already quite a lot of samples for us at that time. 258 00:29:47,720 --> 00:29:52,880 And then and then we have the first paper published based on all the results. 259 00:29:53,240 --> 00:29:59,360 Which month did that come out to that. That's I think in April or May. 260 00:29:59,390 --> 00:30:03,440 Oh that's very so yeah, it's a very quick I think yeah. 261 00:30:03,470 --> 00:30:08,840 Pretty much every single day we stay here until. Seven or eight. 262 00:30:09,110 --> 00:30:18,140 And also during weekend. But we all know, like there's a certain objectives we wanted to achieve and then the goal we wanted to achieve. 263 00:30:18,200 --> 00:30:24,529 So I think it's not it's a striving ourselves that's not, as I say, 264 00:30:24,530 --> 00:30:32,410 they're not like pushing us on something is more like we know that that's urgent and they wanted to get it out as soon as possible. 265 00:30:32,690 --> 00:30:45,530 Yeah. And how well did the test before? I think it's in the sensitivity for the nuclear Assam one is them reaching 98% sensitivity. 266 00:30:45,560 --> 00:30:50,990 Very high. Yeah. So it's kind of comparable for Q PCR. 267 00:30:51,410 --> 00:30:59,240 That's definitely a plus for our test, you know, And the specificity is similarly. 268 00:30:59,250 --> 00:31:03,530 Yes. So, so 98, you're saying, you know, so it's not too many false positives? 269 00:31:03,530 --> 00:31:06,500 No, not too many false negatives. Yeah. Yeah. 270 00:31:07,520 --> 00:31:19,490 And at what point did you need to get a commercial partner to turn it into something that could be applied practically and marketed? 271 00:31:20,120 --> 00:31:30,580 So I think around that time, like when we finish all approval principal experiments and then we have B, 272 00:31:30,920 --> 00:31:36,620 c, C, and come to Oxford University to interview us. 273 00:31:36,620 --> 00:31:41,779 And then by the time the news release and then we started to get attention and 274 00:31:41,780 --> 00:31:47,089 then there are a few commercial partners started to reaching out to professors, 275 00:31:47,090 --> 00:31:55,160 say, or to me or the team members, and just to see what collaboration opportunities there is. 276 00:31:55,610 --> 00:32:05,450 And then that's how we started doing. Yeah, testing and helping people to test our test kit, how to make it a real product and so on. 277 00:32:06,020 --> 00:32:12,860 And I think probably and Professor, always at the start, 278 00:32:12,860 --> 00:32:24,260 well one of the start off we're professor is called Mr. and Mr. at that time also supports quite a lot of product side of things like really 279 00:32:24,770 --> 00:32:33,920 making sure the research fellow are doing experiments that were running can be easily translate to later on the product development. 280 00:32:34,940 --> 00:32:41,900 Yeah. Mm hmm. And at what point did you actually form the company and Oxford? 281 00:32:42,950 --> 00:32:48,409 I think it's in. I might need to double check the company. 282 00:32:48,410 --> 00:32:56,860 I was, but I think it's end of August. I think that's the time that we all sit down and professors, we, 283 00:32:56,930 --> 00:33:01,910 I think as professors and really discuss with the university to speak now this company and 284 00:33:01,940 --> 00:33:12,259 by that time he group everyone we are thinking about what's our product name and so on. 285 00:33:12,260 --> 00:33:16,790 Like what's what our different product format that we are going to offer. 286 00:33:17,120 --> 00:33:27,470 But the, the key thing at that time is he will all the team members are right of Yoshio postdocs. 287 00:33:27,800 --> 00:33:36,470 And then also I think in the beginning of this project we are all just thinking about how to, 288 00:33:37,240 --> 00:33:43,340 you know, contribute to the world in a short period of time for not really making profit in anything. 289 00:33:43,340 --> 00:33:49,040 So we kind of all gather and then we all know that it's gonna be a social enterprise. 290 00:33:49,310 --> 00:33:52,670 None of this is going to be generating revenue and so on. 291 00:33:53,000 --> 00:33:58,880 And then that's all like when we are discussing for you what we are going to put as product offering is mainly. 292 00:34:00,750 --> 00:34:04,680 Just to put it. Oh yeah. Yes. Right. Yeah. Just so that it's available. 293 00:34:04,680 --> 00:34:07,890 Yeah, yeah, yeah, yeah, yeah, yeah. And then that's quiet. 294 00:34:08,190 --> 00:34:16,130 Yeah. I think it's really exciting to actually go through the full process and know that your test kits are actually being usable. 295 00:34:17,520 --> 00:34:23,730 And I guess, I mean, that was my next question that, that they were actually taken up and used, uh, in real life. 296 00:34:24,090 --> 00:34:30,690 But tell me about that. Where were the main places that were using your your tests, say, well, 297 00:34:30,690 --> 00:34:41,130 definitely airports are one of them and then they on only I don't really know how we 298 00:34:41,940 --> 00:34:46,379 kind of connected with pre networks but basically fanatics later on acquired it. 299 00:34:46,380 --> 00:34:52,920 I think they also probably get the news and reach out to the University of DC and that was a Hong Kong based. 300 00:34:52,920 --> 00:34:57,060 Yeah. There's a whole device, medical device company or a diagnostics company. 301 00:34:57,180 --> 00:35:01,500 Yes. And then they also have the subsidies in, in the UK. 302 00:35:01,590 --> 00:35:09,180 Oh yeah. So is do they fit I think is DNA fit acquire opposite but the whole thing is Oh print it. 303 00:35:09,450 --> 00:35:19,590 Yeah. Yes. Yeah. And then they have some testing sites at the airports or actually different places for it to fly. 304 00:35:19,620 --> 00:35:25,050 So you don't need to go to the airport to do the testing. You can do hotels and home collection and so on. 305 00:35:25,590 --> 00:35:30,990 So we collaborate with them. And I remember that's also quiet, 306 00:35:31,430 --> 00:35:39,630 forgettable experiences is we actually need to be on site to train all the technicians how to do the tests at the airports. 307 00:35:39,960 --> 00:35:48,540 And then just to make sure that workflow, I'll find the way they run the test, firing troubleshoot and so on. 308 00:35:49,230 --> 00:35:53,889 Yeah. And you were involved in that way. You did? Yeah. So how many airports did you have to go to? 309 00:35:53,890 --> 00:35:56,040 Yeah. And that's why we are running. 310 00:35:56,250 --> 00:36:07,890 Well, I was meaning staying in Heathrow at that time, but we do had people to go to Manchester and then Gatwick Luton, 311 00:36:08,910 --> 00:36:19,020 I think there are five London City also there are five airports in London and then Manchester as well. 312 00:36:19,320 --> 00:36:28,290 And then there's also a few sites in like Skye or Disney now, so using our kids. 313 00:36:30,660 --> 00:36:41,430 So that was all towards the end of 2020 when the the first big wave was over or did it go or not? 314 00:36:41,700 --> 00:36:49,559 Because there must have been a time I could never remember exactly when the lateral flows of that test started coming in. 315 00:36:49,560 --> 00:36:58,440 But okay, there must have come a time when the demand for PCR tests or did did the airlines always require 316 00:36:58,680 --> 00:37:05,580 a higher standard of test than you could get from a lateral flow thing in the very beginning? 317 00:37:06,630 --> 00:37:06,960 Well, 318 00:37:07,770 --> 00:37:21,300 some of most of the airlines that are that were initially target is either the flights to Hong Kong or Asian countries which require higher standards. 319 00:37:21,540 --> 00:37:27,870 But I think later on, pretty much all the countries also joined the testing as well. 320 00:37:28,230 --> 00:37:31,630 And then that's around that time, I think. 321 00:37:31,650 --> 00:37:33,090 Yeah, end of 2020. 322 00:37:33,390 --> 00:37:43,630 I think that's when when we kind of regularly communicated to the analysts to support all the testing and then teaching and or sites set up. 323 00:37:43,650 --> 00:37:58,210 We also like literally filled the labs into this frenetic time by just trying to set things that set up everything in the airport the day before. 324 00:37:58,230 --> 00:38:02,750 So still got all the water dripping down and then the next. 325 00:38:02,750 --> 00:38:09,450 So we need to make it a full cleaning. And yeah, that was unforgettable. 326 00:38:11,250 --> 00:38:22,350 And also teaching all the technicians, like some of them were like fresh under graduate and they're not really that experienced, 327 00:38:22,350 --> 00:38:28,800 but we really need to teach them and train them in a very short period of time to make sure all the tests are up to standard. 328 00:38:28,860 --> 00:38:34,740 Yes. So that's also quite challenging. Yeah, exciting. Wow. 329 00:38:34,890 --> 00:38:42,810 And do it. By this time you were were you? Because at some point you moved across to essentially be an employee of Oxford rather than. 330 00:38:42,810 --> 00:38:46,500 Oh yeah, continuing. So when did that happen? 331 00:38:46,590 --> 00:39:00,240 In 2021, February. And then my post in Oxford University ends and then, well, actually morning I kind of mentioned. 332 00:39:00,350 --> 00:39:11,660 Professor Twain mentioning that I'm thinking to explore more industrial roles because after doing this accent project, 333 00:39:11,690 --> 00:39:21,079 but at the time, yeah, I have enjoyed the company well, but I feel very interesting how the full product development cycle works. 334 00:39:21,080 --> 00:39:30,880 And then I wanted to do more. So I told Professor, So you're saying that, Oh, I don't want it to continue my post as a postdoc. 335 00:39:30,890 --> 00:39:37,820 I wanted to explore different thing. And then professors was super supportive and, and actually asked me, Oh, 336 00:39:38,330 --> 00:39:45,889 there's actually a position in Oxford and then things that it would be a nice 337 00:39:45,890 --> 00:39:50,180 fit because in a way I'm also leading on the product development as well. 338 00:39:50,840 --> 00:40:02,360 So if asking if I would like to join and then I think at that time is really the whole project, I bet the whole team think the same, 339 00:40:02,480 --> 00:40:11,150 it's our baby and then it's already here and then we really want to see what's the next set and then how it would turn out. 340 00:40:11,300 --> 00:40:15,560 So that's why that I moved to Oxford after. 341 00:40:16,100 --> 00:40:19,430 Yeah, after the posting in the university. 342 00:40:20,090 --> 00:40:23,120 And what, so what remained to be done at that point? 343 00:40:23,210 --> 00:40:31,760 What were the tasks ahead of you as to as you went ahead with the product development at that stage? 344 00:40:31,760 --> 00:40:39,229 Because by that time you already had the tests up and running in the in the airports, what what needed doing in Oxford, What was that? 345 00:40:39,230 --> 00:40:47,360 So that's also so I think during the COVID period there are a lot of urgent tests 346 00:40:47,480 --> 00:40:53,719 somehow was pumping through and or dragging the whole team to different direction. 347 00:40:53,720 --> 00:40:59,390 So um, so training and setting up the airport site is one. 348 00:40:59,750 --> 00:41:15,320 And later on actually because of the demand increase quite a lot during that time, Oxford also set up a few testing sites like on on our own as well. 349 00:41:15,770 --> 00:41:20,390 And then by setting up the sites and all the doing all the testing, 350 00:41:21,140 --> 00:41:27,590 there's regulation coming in saying that you need to be accredited to do all this test. 351 00:41:28,040 --> 00:41:33,709 So we have put a lot on the set up with the quality management system and all the testing 352 00:41:33,710 --> 00:41:39,590 site to make sure we fulfil all the standards that is set out by the government guideline. 353 00:41:39,650 --> 00:41:42,230 So you had a lot of documentation work to do, 354 00:41:42,350 --> 00:41:51,560 but also the actual implementation work to make sure that all operation aspect is fulfilling the Government's agenda. 355 00:41:51,800 --> 00:41:59,900 So that's one big chunk of work that we need to make sure that we are adhering to all the government standards. 356 00:42:00,320 --> 00:42:06,380 And the other side is what will be the next step. So now we are focusing on quality, although it's not yet gone, 357 00:42:06,800 --> 00:42:14,660 but we need to think about maybe there will be another pandemics while other infectious diseases are very important, 358 00:42:14,660 --> 00:42:20,840 but we still haven't managed to resolve it or manage to prevent the spreading of it. 359 00:42:21,140 --> 00:42:30,320 So that's another site that I'm involved in as well, like the product development for other critical infectious diseases. 360 00:42:30,920 --> 00:42:39,200 And then at that time we were thinking about other respiratory disease like flu is quite critical. 361 00:42:39,200 --> 00:42:47,239 And then how especially after COVID come out, how we differentiate flu or COVID or ICB and different things. 362 00:42:47,240 --> 00:42:55,370 So that's one of the focus that we are looking into. And there's of course, a lot of the sexually transmitted diseases. 363 00:42:55,370 --> 00:43:05,420 There's also a neat there. And then the idea for respiratory tests is more on public health before as high as we are more thinking of, 364 00:43:06,140 --> 00:43:14,629 perhaps people want it to have more privacy. So they actually wanted to run it at home and how we can improve our tests to make 365 00:43:14,630 --> 00:43:19,910 sure that is even more decentralised and then you can even bring it to people's home. 366 00:43:20,420 --> 00:43:26,450 So that's kind of like different product line that we were running at that time. 367 00:43:28,760 --> 00:43:32,839 And you stayed in that post until August last year, is that right? 368 00:43:32,840 --> 00:43:37,790 August Yeah, Yeah. In August, yes. And now same cell. 369 00:43:37,940 --> 00:43:42,370 Yeah. Where you are now is another professor to AIDS babies do you. 370 00:43:43,850 --> 00:43:53,719 Yeah. So in August that's kind of already the time I think COVID started to get thing everybody's getting 371 00:43:53,720 --> 00:43:59,960 back to normal and then the division of COVID is definitely not as high and then frenetic. 372 00:44:01,070 --> 00:44:05,570 They also restructure the company to focusing on different side of the things. 373 00:44:05,960 --> 00:44:14,000 So that's how I feel. The original baby is no longer what I thought it looks like. 374 00:44:15,620 --> 00:44:24,020 And then so I was looking into other transition and then the C is actually not the professor's telling me of all this opportunities. 375 00:44:24,050 --> 00:44:29,930 Actually, the CEO of Things l reached out to me at that time because how long has himself been going. 376 00:44:30,680 --> 00:44:35,300 And that's I think is is starting in 2020. 377 00:44:35,370 --> 00:44:40,670 Mm hmm. Uh, in. Think. 378 00:44:42,460 --> 00:44:45,800 I think, uh. Yeah. 20. 20 August. 379 00:44:46,220 --> 00:44:50,750 Right. Jamaica. Around that time. So at that time is two years, but. 380 00:44:51,350 --> 00:44:57,530 Yeah. And, and, but it also spun out of research that had gone on in Professor twice. 381 00:44:58,190 --> 00:45:01,470 So is mentally professor. Oh. One group. Yeah. 382 00:45:01,480 --> 00:45:04,870 Yeah. So is mentally on using, uh, 383 00:45:05,240 --> 00:45:15,290 like synthetic biology to genetically modify the bacteria ourselves to make it genome free and then use it for different health care applications. 384 00:45:16,040 --> 00:45:24,530 And then, yeah, so basically this will see you'll reach out to me asking me if I would be interested in stem cells. 385 00:45:24,710 --> 00:45:30,800 And then let's I'm originally making mentally looking into the quality management 386 00:45:30,800 --> 00:45:36,920 aspect because I've got some experience on setting up the QM as in Oxford and, 387 00:45:36,920 --> 00:45:41,780 and also product development side of things. So that's kind of how I know same cell. 388 00:45:42,650 --> 00:45:49,080 And then I found stem cell interesting because you kind of get back to my original Yes. 389 00:45:50,060 --> 00:45:59,240 Biology. Yeah. Is more is biology but also using it for treatments or therapeutics or vaccines even. 390 00:45:59,600 --> 00:46:05,210 So that's actually going back to my original research interests. 391 00:46:05,300 --> 00:46:09,380 So that kind of like grant my attention, my lot. 392 00:46:09,770 --> 00:46:17,150 And then also setting up the quality management system for product development is also something that I always wanted to look into as well. 393 00:46:17,600 --> 00:46:27,860 And then actually there are well, most of the people in STEM Cell is also the original group that we work in the very beginning for this project. 394 00:46:27,860 --> 00:46:36,439 So we all know each other very well as well, especially it's kind of like this super period of time, the period of time, 395 00:46:36,440 --> 00:46:45,050 you know, bettering everyone and then doing things super efficiently, trying to achieve the goal that we set up. 396 00:46:45,320 --> 00:46:49,340 So I really enjoy working with everyone during that time. 397 00:46:49,790 --> 00:46:53,180 So that's why that I later on join himself. 398 00:46:53,810 --> 00:46:58,610 But you're not working seven till midnight, seven days a week and well, 399 00:46:58,610 --> 00:47:05,450 it is needed but is mainly, I think most of us is more like driven by our cell. 400 00:47:05,480 --> 00:47:15,380 There's nothing like, Oh, we need to do whatever. But you just found it intriguing and trying to see, Oh, what's the next step? 401 00:47:15,650 --> 00:47:22,270 Like how, what's the results and so on. And then that's something I think we feel ourselves, I guess. 402 00:47:23,900 --> 00:47:30,290 Yeah. So, yes, I mean, I'd like to talk a little bit more about your and you've talked a little bit about this already, 403 00:47:30,290 --> 00:47:34,430 but how working through the pandemic impacted you on you personally? 404 00:47:34,730 --> 00:47:42,500 I mean, first of all, did you how threatened did you feel by the virus itself, by the possibility that you might get sick yourself? 405 00:47:43,190 --> 00:47:50,840 I think at that time, Well, indeed, Originally I wasn't that worry. 406 00:47:51,050 --> 00:47:56,660 But when your family starting to checking on you, trying to time your friends, 407 00:47:56,660 --> 00:48:04,190 checking on you time to time and when you know there's nobody else on the street except for you. 408 00:48:04,190 --> 00:48:10,280 And then when you meet people, of course, we are going to be cautious. And so and I remember because we were running quite a lot of experiments. 409 00:48:10,280 --> 00:48:15,590 And then at that time, we are always talking about we need to wash our hands very often and so on. 410 00:48:15,830 --> 00:48:23,540 And I remember like because of clothes and so on, we actually like my hands are actually bleeding, but probably just not me, 411 00:48:23,540 --> 00:48:30,379 like probably the rest of the team or other people doing a lot of weight or even people in the hospital or definitely the same thing. 412 00:48:30,380 --> 00:48:34,400 Because when we are when we peeled off the glue, 413 00:48:34,970 --> 00:48:41,540 you just kind of when you think time it is getting very dry because we keep washing your hands and so on. 414 00:48:41,540 --> 00:48:46,969 Yes. So I think that's when some people have a bad reaction to latex is, Oh yeah, like you just don't feel. 415 00:48:46,970 --> 00:48:54,860 So I think that's probably the time that it actually hits me like, although I don't think it might be that serious. 416 00:48:54,860 --> 00:49:00,750 The what I'm doing is actually already, you know, following that thing. 417 00:49:00,980 --> 00:49:03,350 Yeah. And then that's probably the time. 418 00:49:03,350 --> 00:49:13,370 And then I guess the other thing is when we went to the airports, we are really exposed to the first to the frontline. 419 00:49:13,430 --> 00:49:26,209 Yes. And then the urgency of, for example, if we do see a positive samples, how we are gonna deal with it and then yeah, I think so. 420 00:49:26,210 --> 00:49:37,280 Did you have to wear a lot of PPE when you went. Yeah. We fully going up and then using a 95 and then making sure everything is sterile was. 421 00:49:38,490 --> 00:49:50,470 Yeah. And I remember there's also one time I think one of our team was I think probably because it just too tired because it's quite intense work. 422 00:49:50,680 --> 00:49:54,070 And then they were coming down from Oxford, 423 00:49:54,280 --> 00:50:01,270 bringing all the mass medicine and everything by something for us to make sure that we are all flying on the flights. 424 00:50:01,990 --> 00:50:10,660 And yeah, I think the airport is probably really the time that you feel the most because it's real. 425 00:50:11,230 --> 00:50:19,090 You see the passengers out there. And then I remember very clearly like when the testing flight, like it passed a certain time. 426 00:50:19,090 --> 00:50:25,360 So we need to close down and then there's two or a family of the passenger actually knocked the door, 427 00:50:25,780 --> 00:50:33,339 the glass door, and then really crying and half begging, saying that, oh, we really need these tests. 428 00:50:33,340 --> 00:50:37,389 Otherwise, like it's been a while, then we can go back home and so on. 429 00:50:37,390 --> 00:50:41,890 And then you just feel like it's real life and then there's really a need there. 430 00:50:42,400 --> 00:50:51,130 And then how many people actually this and how I think that's kind of like the struggle between you. 431 00:50:51,280 --> 00:50:56,379 You are in the frontline and then you are probably worry about your house. 432 00:50:56,380 --> 00:51:02,590 I thought bit, but there's actually a lot more neat that you can even support them. 433 00:51:03,280 --> 00:51:06,640 And then so I guess we just go out there. 434 00:51:06,940 --> 00:51:15,159 But again, thinking of us is probably a really small case compared to nurses, doctors in hospital. 435 00:51:15,160 --> 00:51:21,190 Those are the people really in the frontline. And then the pressure is definitely a lot more so. 436 00:51:21,670 --> 00:51:24,999 Yeah. And and did you I mean, 437 00:51:25,000 --> 00:51:32,710 you said that the work was very intense in the early days when you were doing the proof of principle and getting the the device working. 438 00:51:33,670 --> 00:51:37,870 Did you I mean, how, how well did you cope with that and what were your home circumstances? 439 00:51:37,870 --> 00:51:41,530 I mean, were you living by yourself at the time? Was it just work and sleep? 440 00:51:42,820 --> 00:51:47,470 Do you think that where you were able to do anything to support your your own wellbeing in that time? 441 00:51:47,950 --> 00:51:51,520 I think my partner definitely helped a lot, Yes, with my partner. 442 00:51:51,540 --> 00:51:53,620 And then I remember. 443 00:51:54,430 --> 00:52:03,339 Yeah, I always especially I remember it was quite interesting because I went at that time, I went back home quite late, pretty much always. 444 00:52:03,340 --> 00:52:13,360 And then they there was once he probably knew that I'm quite tired or something, so he came out to try to help me carry the things and so on. 445 00:52:13,570 --> 00:52:17,110 But I was completely blank. So I walked past him. 446 00:52:17,350 --> 00:52:23,050 And then I know this building is probably another pedestrian walking by, 447 00:52:23,380 --> 00:52:28,810 and then that's the time that I kind of like, Oh, actually, I might need to really, 448 00:52:28,930 --> 00:52:36,460 you know, also taking care of myself a tiny bit because I can't even, you know, 449 00:52:37,150 --> 00:52:42,610 notice that he's passed by and then but definitely he's supporting me a lot. 450 00:52:42,640 --> 00:52:54,340 Like I think if if we don't have dinner here, then he's cooking, he's helping with all different aspects and then yes, trying to help me. 451 00:52:55,290 --> 00:53:01,149 That's good. And but do you think that the fact you had a job to do, I mean, 452 00:53:01,150 --> 00:53:05,770 like so many people were in lockdown and didn't have anything to do because they couldn't go to work. 453 00:53:06,040 --> 00:53:11,650 The fact that you did have an important project to work on, do you think that helped to support your sense of well-being? 454 00:53:11,800 --> 00:53:19,360 Yeah, I think actually that that definitely helped because my partner and I are well, he's also a postdoc in a university, 455 00:53:19,690 --> 00:53:31,200 so he I know he really struggled a tiny bit because he know there are so many things to do or to be done in so computer lab. 456 00:53:31,270 --> 00:53:34,510 So he just couldn't do it because of the before the lockdown. 457 00:53:35,020 --> 00:53:45,290 Well, yeah, I'm really lucky that I was kind of involved in another project, although that's not my original research expertise. 458 00:53:45,490 --> 00:53:51,910 But I do have a chance to explore how I can be useful in all this projects. 459 00:53:52,150 --> 00:53:57,280 Yeah. And. And do you think I mean, there were obviously a lot of changes in the way people work, 460 00:53:57,280 --> 00:54:04,510 things like using, you know, virtual conference calling and all that kind of thing. 461 00:54:05,020 --> 00:54:13,180 Do you think in fact some of those changes were positive and would you see that kind of way of working continuing after the the emergency is over? 462 00:54:13,780 --> 00:54:20,830 Yeah, I think that definitely helps. And also the way that like the speed. 463 00:54:22,610 --> 00:54:32,520 And also how people can be brought together in such a short period of time is it's definitely gonna change the world later on. 464 00:54:32,540 --> 00:54:44,770 Like people, for example, like clinical trials, how to collaborate across different continents, communication through different departments and so on. 465 00:54:44,790 --> 00:54:54,620 I think that all speed things well now because of the probably the people are getting used to it or people are more open to it, 466 00:54:55,130 --> 00:54:58,500 that definitely speed up and improve. 467 00:54:59,480 --> 00:55:02,150 You just you got you don't have to get on a plane and go to a conference. 468 00:55:02,180 --> 00:55:09,739 It's just you can just say, we'll have a call next Wednesday and yeah, or you're set up a collaboration meeting face to face, 469 00:55:09,740 --> 00:55:14,910 but you can just run it and then people will still think that it's happening. 470 00:55:14,990 --> 00:55:21,740 Yes, yes, yes. And do you think that I mean, did you find the level of collaboration? 471 00:55:22,160 --> 00:55:27,920 I mean, I know you were in a very interdisciplinary field, so you will always have had quite wide collaboration in your work. 472 00:55:27,920 --> 00:55:31,969 But do you think there was a step change in the degree to which people from 473 00:55:31,970 --> 00:55:36,530 different backgrounds were collaborating to solve these problems in the pandemic? 474 00:55:37,550 --> 00:55:40,970 What do you think that was? That was a bigger change than usual. 475 00:55:41,390 --> 00:55:47,750 Did you feel that? I think well, throughout my research. 476 00:55:49,340 --> 00:55:53,930 Like? Perry. I think it's always quite interdisciplinary. 477 00:55:54,380 --> 00:56:03,230 But the difference, again, I think is more the speed and how people respond to certain issue. 478 00:56:03,830 --> 00:56:10,309 Like we all jumping directly. There's no more border or well before there could be. 479 00:56:10,310 --> 00:56:16,190 Like you need to arrange certain meetings or certain networking to bring people together. 480 00:56:16,880 --> 00:56:23,510 But now is really knowing that like there's no border directly reach out. 481 00:56:23,510 --> 00:56:28,550 People know that is a serious issue. You don't need to have those application. 482 00:56:28,790 --> 00:56:31,969 People just try every different way to go. And it's part. 483 00:56:31,970 --> 00:56:37,530 Yes. So part of that is a greater openness. Yes. It's not a sense that this is work, what's going on in our lab, 484 00:56:37,530 --> 00:56:41,999 but we're not going to release it until we've got our paper written and that you 485 00:56:42,000 --> 00:56:47,110 would actually share data and share technology and share all the materials, 486 00:56:47,120 --> 00:56:53,870 you know? Yeah. Yeah. I think that's definitely something a bit different because there's an urgent need. 487 00:56:54,320 --> 00:57:01,040 But I do see after COVID, I think people are more open as well. 488 00:57:02,570 --> 00:57:09,590 Because probably people are also getting used to and then I think maybe virtual 489 00:57:09,590 --> 00:57:15,650 meetings are helping it in certain way because everybody already get used to it to, 490 00:57:17,060 --> 00:57:22,129 to kind of set up trust using for even virtual meetings while before you 491 00:57:22,130 --> 00:57:26,480 probably need to really have like deep connections to set up the collaboration. 492 00:57:26,630 --> 00:57:31,490 Well, now maybe a few times meeting that you already feel like you know the people. 493 00:57:33,050 --> 00:57:42,290 Yeah, that's really interesting. So I think we more or less, um, yeah, I think we've gone through pretty well all of that. 494 00:57:42,870 --> 00:57:50,719 So, yeah, so I mean, my final question really is whether the experience has changed your attitude or your 495 00:57:50,720 --> 00:57:55,610 approach to your work and all the things you'd like to see change in the future. 496 00:57:57,320 --> 00:58:07,240 I think it definitely changed me in, in various aspects, like, Oh really? 497 00:58:07,370 --> 00:58:19,130 Really. Well, maybe one is more like how fast you might be able to make your work because before or my research is longer term 498 00:58:19,550 --> 00:58:25,730 and then you might feel like you don't really know if it's actually going to be realised in the sense that, 499 00:58:25,780 --> 00:58:31,669 yes, well, as you said, you're working on repairing neural tissue, which is, you know, 500 00:58:31,670 --> 00:58:37,940 it's a project that people have been trying to do that for 50, 50 or 60 years and it's really hard. 501 00:58:38,060 --> 00:58:46,040 Yeah, Yeah. Now just seeing how like for example, COVID vaccine before, you also need to take 15 years. 502 00:58:46,040 --> 00:58:52,130 Yes, 20 years. Yes. But because of COVID, you can be down to two years or even less. 503 00:58:53,150 --> 00:58:57,890 So there's always a possibility if we wanted to do it. 504 00:58:58,220 --> 00:59:01,620 I feel like that's probably the major thing that opened my eyes. 505 00:59:01,670 --> 00:59:08,810 I mean, if we all wanted to do certain things, if we all think that's important, we can achieve it. 506 00:59:09,140 --> 00:59:14,270 Like the the, the way the system will will change it to make sure that it works. 507 00:59:15,140 --> 00:59:29,060 So I think originally, for example, even since all the projects we are working on now is it might be like introduction or conventional drug delivery, 508 00:59:29,360 --> 00:59:41,030 drug development pathway, you might be taking long, but I think there's a chance to shorten it and then we probably can find a way to speed things up. 509 00:59:41,080 --> 00:59:49,489 No, not, not shortcut, but because of how we utilise the resource, how we navigate the regulatory pathway, 510 00:59:49,490 --> 00:59:55,580 how we actually bring partners, collaborators together, like we learn how to make it faster. 511 00:59:57,380 --> 01:00:00,650 Not finding a shortcut, but we know how to speed things up. Yes. 512 01:00:00,670 --> 01:00:03,530 Yes. And is that also a message about basic science? 513 01:00:03,530 --> 01:00:11,540 Because I mean, just taking the example of the vaccine again, um, yes, they got the vaccine in kind of just just over a year. 514 01:00:11,780 --> 01:00:18,500 But in fact, that was based on maybe ten years research that had gone on beforehand to develop the vector. 515 01:00:19,350 --> 01:00:25,850 Yeah. And so it was, it was really just the end of it was, it wasn't from scratch, 516 01:00:26,330 --> 01:00:33,500 but because people had already done that fundamental research, yeah, it was possible to make that fast leap forward. 517 01:00:33,980 --> 01:00:40,610 Um, I think definitely the, like how we collaborate, how we connect with other people. 518 01:00:41,480 --> 01:00:48,710 Like, oh, the final product will be just applications, but as you mentioned, like all of. 519 01:00:48,760 --> 01:00:55,480 Fundamental site. That's the core of how they drive all the rest of the technology developed by them. 520 01:00:57,040 --> 01:01:00,190 Oh, that's great. Thank you very much. 521 01:01:00,760 --> 01:01:03,969 Oh, before I stop. Okay. I just I always forget to ask this, 522 01:01:03,970 --> 01:01:08,920 but just I just wondered if there were any of the stories that you haven't told 523 01:01:08,920 --> 01:01:16,090 me that really illustrate that your experience in the time that you spent. 524 01:01:16,090 --> 01:01:27,700 Are there any other stories that you might tell to friends, what you had to do and things that were different or strange or remarkable, 525 01:01:29,110 --> 01:01:35,530 I think is really how like I feel like people are standing together. 526 01:01:36,340 --> 01:01:47,360 You gotta no matter how difficult it is, not just our team, but even when we send out, for example, going to the airport, 527 01:01:47,360 --> 01:01:55,960 besides working with people, working in the airport and so on, you just feel like everybody unites because of this disease. 528 01:01:56,170 --> 01:02:00,820 And then we all try to do things well and then that kind of experiences. 529 01:02:01,840 --> 01:02:06,540 Yeah, you really feel that. It's. 530 01:02:07,470 --> 01:02:15,030 Yeah, it's unforgettable. You find that we are all united together, and then we are facing certain things, and then we can't deal with it. 531 01:02:15,360 --> 01:02:19,870 That's probably in addition to, like, the word and all the. 532 01:02:19,980 --> 01:02:22,500 Yeah. Oh, that's right. Any good?