1 00:00:10,828 --> 00:00:12,370 MIGUEL JIMENEZ: The crux of the class 2 00:00:12,370 --> 00:00:14,290 is really teaching the students how 3 00:00:14,290 --> 00:00:17,500 to read the primary literature and read research papers. 4 00:00:17,500 --> 00:00:19,180 We wanted it to be engaging for them, 5 00:00:19,180 --> 00:00:20,860 so we're kind of dealing with papers, 6 00:00:20,860 --> 00:00:23,110 specifically looking at the microbiome 7 00:00:23,110 --> 00:00:26,082 and synthetic biology and drug delivery. 8 00:00:26,082 --> 00:00:27,790 SARAH HANSEN: So what are some strategies 9 00:00:27,790 --> 00:00:30,800 that you use to teach students how to critically read 10 00:00:30,800 --> 00:00:32,250 the primary literature? 11 00:00:32,250 --> 00:00:33,375 MIGUEL JIMENEZ: Yeah, yeah. 12 00:00:33,375 --> 00:00:36,610 So I mean, first of all, we choose a variety of papers-- 13 00:00:36,610 --> 00:00:39,880 some that are simpler to read and some that are-- 14 00:00:39,880 --> 00:00:41,290 with tons of figures. 15 00:00:41,290 --> 00:00:44,380 But really, we're always asking them what would 16 00:00:44,380 --> 00:00:47,765 they do differently if they were the researchers. 17 00:00:47,765 --> 00:00:50,140 ALI BEYZAVI: Or maybe, what are some of the controls that 18 00:00:50,140 --> 00:00:52,780 are missing or what are some of the experiments 19 00:00:52,780 --> 00:00:57,190 that the authors could do to improve the study? 20 00:00:57,190 --> 00:00:59,720 We always get started asking the questions, 21 00:00:59,720 --> 00:01:01,540 OK, what is the abstract? 22 00:01:01,540 --> 00:01:03,860 And what is the main claim of the paper? 23 00:01:03,860 --> 00:01:07,600 And then, we were guiding them, figure by figure, 24 00:01:07,600 --> 00:01:10,680 to understand the article and explain it in the class. 25 00:01:10,680 --> 00:01:13,180 MIGUEL JIMENEZ: And so we always take this kind of step-wise 26 00:01:13,180 --> 00:01:16,708 approach, where instead of just taking everything as a given 27 00:01:16,708 --> 00:01:19,000 when you read a paper, which is maybe what you would do 28 00:01:19,000 --> 00:01:21,910 if you're reading a magazine, here, we're really kind of-- 29 00:01:21,910 --> 00:01:25,420 they first start by reading the abstract 30 00:01:25,420 --> 00:01:29,990 and considering what the authors seem to be suggesting. 31 00:01:29,990 --> 00:01:32,530 And then, later, they look at the data just on its own, 32 00:01:32,530 --> 00:01:35,652 just the figures, and then think for themselves, 33 00:01:35,652 --> 00:01:38,110 do the figures actually match up with what the authors were 34 00:01:38,110 --> 00:01:39,928 saying in the abstract? 35 00:01:39,928 --> 00:01:42,220 SARAH HANSEN: So let's talk a little bit about the role 36 00:01:42,220 --> 00:01:43,900 of questioning in the course. 37 00:01:43,900 --> 00:01:47,770 I had the opportunity to sit in on one of your class sessions. 38 00:01:47,770 --> 00:01:50,290 And I noticed that instructor-led questioning 39 00:01:50,290 --> 00:01:53,780 seemed to be pretty important throughout the session. 40 00:01:53,780 --> 00:01:56,530 So talk to us about the role of questioning. 41 00:01:56,530 --> 00:02:00,370 How do you select the types of questions that you do? 42 00:02:00,370 --> 00:02:02,710 Is there a learning curve for students, 43 00:02:02,710 --> 00:02:04,510 in terms of their confidence and how they 44 00:02:04,510 --> 00:02:06,280 respond to these questions? 45 00:02:06,280 --> 00:02:08,820 ALI BEYZAVI: So we try to challenge them a little bit. 46 00:02:08,820 --> 00:02:13,090 And we try to ask them, one by one, to explain each figure. 47 00:02:13,090 --> 00:02:16,420 And we're trying to keep a balance between the questions 48 00:02:16,420 --> 00:02:19,300 we ask and also the explanations and information 49 00:02:19,300 --> 00:02:20,860 we provide to students. 50 00:02:20,860 --> 00:02:23,830 We also study a lot before each session. 51 00:02:23,830 --> 00:02:26,000 Maybe for every two hours of the class, 52 00:02:26,000 --> 00:02:29,080 we did four or five hours of reading by ourselves 53 00:02:29,080 --> 00:02:30,280 to get ready. 54 00:02:30,280 --> 00:02:33,100 And when we are asking the students, 55 00:02:33,100 --> 00:02:36,500 the students were somehow forced to read in advance. 56 00:02:36,500 --> 00:02:38,290 And when they read in advance, then 57 00:02:38,290 --> 00:02:39,960 they learn much, much faster. 58 00:02:39,960 --> 00:02:40,400 MIGUEL JIMENEZ: Right. 59 00:02:40,400 --> 00:02:41,410 And I do think there was a learning 60 00:02:41,410 --> 00:02:42,390 curve for the students. 61 00:02:42,390 --> 00:02:44,015 And Ali, right from the very beginning, 62 00:02:44,015 --> 00:02:48,910 had a very cool idea to kind of pick on students at random. 63 00:02:48,910 --> 00:02:50,970 And so the first class I think was a little bit-- 64 00:02:50,970 --> 00:02:52,220 the students were like, whoa-- 65 00:02:52,220 --> 00:02:52,720 [CHUCKLES] 66 00:02:52,720 --> 00:02:54,053 --we're going to have to answer. 67 00:02:54,053 --> 00:02:56,540 But I think, very quickly, the students were great. 68 00:02:56,540 --> 00:02:57,590 They knew that. 69 00:02:57,590 --> 00:02:59,950 And so then, they knew they really had to read. 70 00:02:59,950 --> 00:03:03,250 And they also learned to read efficiently with their time, 71 00:03:03,250 --> 00:03:05,750 so then they can be ready for any one of the questions. 72 00:03:05,750 --> 00:03:07,990 And I think, when you came in, you saw that. 73 00:03:07,990 --> 00:03:09,430 Like, after several sessions, they 74 00:03:09,430 --> 00:03:12,550 could already kind of on the spot be engaged 75 00:03:12,550 --> 00:03:14,350 and really reading the paper. 76 00:03:14,350 --> 00:03:17,050 So I think that was a great strategy to do it that way. 77 00:03:17,050 --> 00:03:19,960 And I think another thing that maybe worked well 78 00:03:19,960 --> 00:03:22,900 was that the kind of questions and in the order, 79 00:03:22,900 --> 00:03:25,990 even, we asked them was almost very similar from session 80 00:03:25,990 --> 00:03:26,753 to session. 81 00:03:26,753 --> 00:03:29,170 So obviously, the paper is very unique and very different, 82 00:03:29,170 --> 00:03:31,600 but we always ask like, what's the main claim; 83 00:03:31,600 --> 00:03:35,380 which of the figures is the most important figure 84 00:03:35,380 --> 00:03:38,873 to support their main claim; and then, what controls were done? 85 00:03:38,873 --> 00:03:40,040 What controls could be done? 86 00:03:40,040 --> 00:03:43,150 And so that was kind of like these five key questions. 87 00:03:43,150 --> 00:03:44,650 And we always asked those questions, 88 00:03:44,650 --> 00:03:47,080 so I think the students also were-- 89 00:03:47,080 --> 00:03:51,190 became prepared to answer those types of questions. 90 00:03:51,190 --> 00:03:53,680 So I think that probably when the students were reading 91 00:03:53,680 --> 00:03:55,180 the papers in the later sessions, 92 00:03:55,180 --> 00:03:56,710 they were already reading the papers 93 00:03:56,710 --> 00:03:58,080 with those questions in mind. 94 00:03:58,080 --> 00:04:01,950 So I think that also helped them in the actual class session. 95 00:04:01,950 --> 00:04:03,160 ALI BEYZAVI: Absolutely. 96 00:04:03,160 --> 00:04:05,650 This is a famous assay microbiologists 97 00:04:05,650 --> 00:04:09,910 use to see if the bacteria has been able to penetrate 98 00:04:09,910 --> 00:04:11,950 the eukaryotic cell. 99 00:04:11,950 --> 00:04:15,330 So gentamicin kills everything outside. 100 00:04:15,330 --> 00:04:17,829 And if the bacteria has already invaded the cell, 101 00:04:17,829 --> 00:04:19,160 it's protected inside. 102 00:04:19,160 --> 00:04:20,740 And then, when you lysed it-- 103 00:04:20,740 --> 00:04:24,467 tumor cells-- you can extract the bacteria inside. 104 00:04:24,467 --> 00:04:26,800 MIGUEL JIMENEZ: If you guys were to do the next figure-- 105 00:04:26,800 --> 00:04:28,690 kind of expand this paper-- what should 106 00:04:28,690 --> 00:04:30,350 be kind of the next step? 107 00:04:30,350 --> 00:04:31,767 AUDIENCE: I would think they would 108 00:04:31,767 --> 00:04:34,483 want to combine both the quorum sensing and the anaerobic. 109 00:04:34,483 --> 00:04:36,150 MIGUEL JIMENEZ: Yeah, definitely, right? 110 00:04:36,150 --> 00:04:38,590 Because their figure 1 shows that they're 111 00:04:38,590 --> 00:04:42,092 trying to make this system that only invades tumors. 112 00:04:42,092 --> 00:04:44,050 And so, that's what the anaerobic point is for. 113 00:04:44,050 --> 00:04:45,970 And what is their argument for why 114 00:04:45,970 --> 00:04:49,507 they want this quorum sensing aspect to it? 115 00:04:49,507 --> 00:04:51,840 AUDIENCE: Because of the typical density of the bacteria 116 00:04:51,840 --> 00:04:53,290 at the cancer cells. 117 00:04:53,290 --> 00:04:53,590 MIGUEL JIMENEZ: Right. 118 00:04:53,590 --> 00:04:54,730 AUDIENCE: They enjoy that environment. 119 00:04:54,730 --> 00:04:54,970 MIGUEL JIMENEZ: Right. 120 00:04:54,970 --> 00:04:55,090 Right. 121 00:04:55,090 --> 00:04:56,920 They don't want to have it just invade 122 00:04:56,920 --> 00:04:58,540 random cells all by itself. 123 00:04:58,540 --> 00:05:01,465 They want for them to only invade the cancer cells 124 00:05:01,465 --> 00:05:04,632 all in one batch. 125 00:05:04,632 --> 00:05:06,840 SARAH HANSEN: Let's talk about the midterm assignment 126 00:05:06,840 --> 00:05:08,130 in the course. 127 00:05:08,130 --> 00:05:10,460 What was it all about? 128 00:05:10,460 --> 00:05:12,210 ALI BEYZAVI: So in the midterm assignment, 129 00:05:12,210 --> 00:05:17,520 we tried to give two papers to students without giving 130 00:05:17,520 --> 00:05:18,870 the title of the paper. 131 00:05:18,870 --> 00:05:23,340 We only selected the figures and tables 132 00:05:23,340 --> 00:05:27,180 and put it in a PowerPoint and asked the students 133 00:05:27,180 --> 00:05:31,230 to look at the figures and try to connect the dots, 134 00:05:31,230 --> 00:05:33,990 trying to understand what's the story of the paper. 135 00:05:33,990 --> 00:05:37,050 We explained a little bit about the caption of each figure, 136 00:05:37,050 --> 00:05:40,680 so that students could see the figure, read the data, 137 00:05:40,680 --> 00:05:42,630 and read the caption. 138 00:05:42,630 --> 00:05:45,720 And then, they were in charge of understanding 139 00:05:45,720 --> 00:05:48,735 what the whole paper is about, what is the main claim, 140 00:05:48,735 --> 00:05:50,547 and what is the story of the paper. 141 00:05:50,547 --> 00:05:52,380 MIGUEL JIMENEZ: And so, yeah, we were really 142 00:05:52,380 --> 00:05:54,630 trying to kind of flip what we normally 143 00:05:54,630 --> 00:05:57,470 do in a class kind of upside down, so they were really 144 00:05:57,470 --> 00:06:00,750 then intended to write an abstract, based on the figures, 145 00:06:00,750 --> 00:06:04,190 rather than judge the figures, based on the abstract. 146 00:06:04,190 --> 00:06:06,800 And so I think when we first gave it to them, 147 00:06:06,800 --> 00:06:08,190 they were a little bit concerned. 148 00:06:08,190 --> 00:06:10,020 I think some of the difficulties they 149 00:06:10,020 --> 00:06:13,380 had was like how much background to include in the abstract. 150 00:06:13,380 --> 00:06:15,300 Or for example, something that they 151 00:06:15,300 --> 00:06:18,720 asked a lot of questions about was how much other readings 152 00:06:18,720 --> 00:06:19,450 should I do. 153 00:06:19,450 --> 00:06:23,730 Because it's a little bit like a quiz, where you give them 154 00:06:23,730 --> 00:06:25,320 just the figures, and then they have 155 00:06:25,320 --> 00:06:26,790 to come up with an abstract. 156 00:06:26,790 --> 00:06:30,300 So there's always the intention of trying 157 00:06:30,300 --> 00:06:33,750 to find which papers the figures belong to to read 158 00:06:33,750 --> 00:06:35,223 the original abstract. 159 00:06:35,223 --> 00:06:37,140 And so we tried to actually change the legend, 160 00:06:37,140 --> 00:06:39,180 so that wouldn't be so easy. 161 00:06:39,180 --> 00:06:42,000 But we also asked them to not necessary 162 00:06:42,000 --> 00:06:43,868 directly look up the paper. 163 00:06:43,868 --> 00:06:45,660 But then, there was still struggle, though, 164 00:06:45,660 --> 00:06:47,850 because they still needed to understand the figures. 165 00:06:47,850 --> 00:06:50,580 And so there was some amount of background research 166 00:06:50,580 --> 00:06:51,640 they had to do. 167 00:06:51,640 --> 00:06:53,805 And so, if they came upon some of the background, 168 00:06:53,805 --> 00:06:55,680 they were like, should I include that or not, 169 00:06:55,680 --> 00:06:56,990 and how much to do that. 170 00:06:56,990 --> 00:06:59,970 But I think, in the end, it was all OK, because really, 171 00:06:59,970 --> 00:07:04,020 just even thinking about what is the main claim without being 172 00:07:04,020 --> 00:07:07,080 given the main claim, I think that was really the key aspect 173 00:07:07,080 --> 00:07:07,950 of the assignment. 174 00:07:07,950 --> 00:07:09,070 SARAH HANSEN: That's really interesting. 175 00:07:09,070 --> 00:07:09,870 ALI BEYZAVI: More or less, it looked 176 00:07:09,870 --> 00:07:11,550 like solving a puzzle for them. 177 00:07:11,550 --> 00:07:13,830 So they had the pieces and they had to connect them 178 00:07:13,830 --> 00:07:15,888 in the right order. 179 00:07:15,888 --> 00:07:17,430 SARAH HANSEN: Students in this course 180 00:07:17,430 --> 00:07:19,680 give a final presentation. 181 00:07:19,680 --> 00:07:20,993 What was that all about? 182 00:07:20,993 --> 00:07:22,410 MIGUEL JIMENEZ: Yeah, so now, it's 183 00:07:22,410 --> 00:07:25,652 kind of giving them a little bit of-- 184 00:07:25,652 --> 00:07:27,360 allowing them to choose their own papers. 185 00:07:27,360 --> 00:07:29,940 So the whole time, we've been choosing papers for them 186 00:07:29,940 --> 00:07:32,370 or figures for them to analyze. 187 00:07:32,370 --> 00:07:33,780 And now, we wanted to see-- 188 00:07:33,780 --> 00:07:36,690 for them to have the freedom to kind of explore 189 00:07:36,690 --> 00:07:38,640 a certain aspect of the microbiome or drug 190 00:07:38,640 --> 00:07:41,220 delivery of their choosing, and then, 191 00:07:41,220 --> 00:07:43,440 for us, also to see kind of where they took it 192 00:07:43,440 --> 00:07:45,110 from where we left it off. 193 00:07:45,110 --> 00:07:46,860 And so the way we designed this assignment 194 00:07:46,860 --> 00:07:50,790 was that we asked each student to choose two papers that they 195 00:07:50,790 --> 00:07:52,020 would like to present. 196 00:07:52,020 --> 00:07:54,000 And then, we went through and chose 197 00:07:54,000 --> 00:07:55,740 one of those papers for them to present, 198 00:07:55,740 --> 00:07:57,740 so at least we would have all the papers be kind 199 00:07:57,740 --> 00:08:00,245 of equal length or difficulty. 200 00:08:00,245 --> 00:08:01,620 And they would all be matched up, 201 00:08:01,620 --> 00:08:04,235 but at least, we gave them the ability to choose the paper. 202 00:08:04,235 --> 00:08:05,610 And then, they were meant to just 203 00:08:05,610 --> 00:08:07,860 do like a 10-minute presentation to, 204 00:08:07,860 --> 00:08:10,130 again, go through kind of the same questions 205 00:08:10,130 --> 00:08:13,500 we'd go through in every session, kind of tell all of us 206 00:08:13,500 --> 00:08:16,980 in the class what is the main claim, kind of contextualize 207 00:08:16,980 --> 00:08:21,090 those, and kind of critique the paper as what 208 00:08:21,090 --> 00:08:22,770 other experiments could be done or what 209 00:08:22,770 --> 00:08:26,130 the researchers do really well. 210 00:08:26,130 --> 00:08:27,720 ALI BEYZAVI: The day of presentation, 211 00:08:27,720 --> 00:08:31,380 I was extremely happy because I saw that students have really 212 00:08:31,380 --> 00:08:33,880 learned to go in to the literature, 213 00:08:33,880 --> 00:08:36,870 dig into the literature, find a paper, 214 00:08:36,870 --> 00:08:38,580 read it, and understand it. 215 00:08:38,580 --> 00:08:39,980 And I think-- 216 00:08:39,980 --> 00:08:43,770 I and Miguel-- reached one of the most important goals 217 00:08:43,770 --> 00:08:45,840 of discourse, which was teaching students how 218 00:08:45,840 --> 00:08:47,113 to read and understand paper. 219 00:08:47,113 --> 00:08:48,030 MIGUEL JIMENEZ: Right. 220 00:08:48,030 --> 00:08:51,420 And it was really great to see it in a single session. 221 00:08:51,420 --> 00:08:54,870 We had eight to nine students, so we had all these papers 222 00:08:54,870 --> 00:08:56,487 all presented in kind of in the way we 223 00:08:56,487 --> 00:08:57,570 would have presented them. 224 00:08:57,570 --> 00:09:00,540 So it was really nice-- 225 00:09:00,540 --> 00:09:03,810 affirmation that they had really kind of understood 226 00:09:03,810 --> 00:09:05,930 kind of the whole point of the course. 227 00:09:05,930 --> 00:09:07,680 SARAH HANSEN: One of the interesting parts 228 00:09:07,680 --> 00:09:09,210 of this course is that students get 229 00:09:09,210 --> 00:09:11,610 to take visits to working labs. 230 00:09:11,610 --> 00:09:13,530 Could you tell us a little bit about that? 231 00:09:13,530 --> 00:09:14,640 ALI BEYZAVI: Of course. 232 00:09:14,640 --> 00:09:17,040 We thought that, besides reading papers, 233 00:09:17,040 --> 00:09:19,890 it's very good to show students that things they read 234 00:09:19,890 --> 00:09:22,770 have some tangible, real application. 235 00:09:22,770 --> 00:09:25,740 And Miguel found a company called Ginkgo Bio. 236 00:09:25,740 --> 00:09:28,860 They're actively working on synthetic biology. 237 00:09:28,860 --> 00:09:32,580 And they're actively engineering the microbiome 238 00:09:32,580 --> 00:09:34,260 to get new applications. 239 00:09:34,260 --> 00:09:36,180 And then, we took the students over there. 240 00:09:36,180 --> 00:09:39,653 It was amazing, because they saw whatever they have learned, 241 00:09:39,653 --> 00:09:41,070 and they are learning, and they're 242 00:09:41,070 --> 00:09:44,518 reading the papers to have some real-world applications. 243 00:09:44,518 --> 00:09:46,560 MIGUEL JIMENEZ: So yeah, from the very beginning, 244 00:09:46,560 --> 00:09:48,185 when we were developing the curriculum, 245 00:09:48,185 --> 00:09:49,810 we heard from previous instructors 246 00:09:49,810 --> 00:09:52,655 that rather than taking them to an MIT lab, 247 00:09:52,655 --> 00:09:54,780 it would be very kind of enriching for the students 248 00:09:54,780 --> 00:09:57,600 to actually go out off of the campus. 249 00:09:57,600 --> 00:09:59,940 And so that's why we chose to go to a company, 250 00:09:59,940 --> 00:10:01,860 rather than showing them a lab. 251 00:10:01,860 --> 00:10:03,360 And so interestingly, we didn't know 252 00:10:03,360 --> 00:10:05,735 that kind of going into the semester when we were already 253 00:10:05,735 --> 00:10:07,360 planning the visit to Ginkgo Bioworks, 254 00:10:07,360 --> 00:10:10,280 but most of the students were actually seniors 255 00:10:10,280 --> 00:10:11,610 with just a couple of juniors. 256 00:10:11,610 --> 00:10:14,130 So actually, they were all very interested in jobs 257 00:10:14,130 --> 00:10:16,980 and how do you translate some of this stuff that you learn 258 00:10:16,980 --> 00:10:19,265 and see here on campus to the real world. 259 00:10:19,265 --> 00:10:20,640 And so it was really interesting, 260 00:10:20,640 --> 00:10:23,730 I think, for me and for them to see 261 00:10:23,730 --> 00:10:26,310 kind of a lab, similar to where we are right now, 262 00:10:26,310 --> 00:10:28,200 but what it looks like really an industry 263 00:10:28,200 --> 00:10:30,505 kind of on a high level, very professional. 264 00:10:30,505 --> 00:10:32,880 And so I think Ginkgo Bioworks was great for showing them 265 00:10:32,880 --> 00:10:35,610 they have like these foundries, or bio foundries, 266 00:10:35,610 --> 00:10:37,260 where they're doing synthetic biology 267 00:10:37,260 --> 00:10:38,663 kind of at a grand scale. 268 00:10:38,663 --> 00:10:40,830 And so that was really interesting for the students. 269 00:10:40,830 --> 00:10:44,567 And we asked them at the end of the course, and they were-- 270 00:10:44,567 --> 00:10:46,650 that was like one of the highlights of the course. 271 00:10:46,650 --> 00:10:48,390 They're really very excited about that. 272 00:10:48,390 --> 00:10:50,098 SARAH HANSEN: Why did you choose to teach 273 00:10:50,098 --> 00:10:52,260 this course as postdocs? 274 00:10:52,260 --> 00:10:54,582 And is it something you'd recommend to other people 275 00:10:54,582 --> 00:10:55,290 in your position? 276 00:10:55,290 --> 00:10:57,415 ALI BEYZAVI: Yeah, I definitely would recommend it. 277 00:10:57,415 --> 00:10:59,730 As a person who has done a PhD and has 278 00:10:59,730 --> 00:11:02,640 been in the graduate school for a couple of years, 279 00:11:02,640 --> 00:11:06,060 I was clearly feeling that, if a researcher wants 280 00:11:06,060 --> 00:11:08,220 to be successful, he or she must be 281 00:11:08,220 --> 00:11:11,450 able to read the literature almost every day. 282 00:11:11,450 --> 00:11:14,630 And he or she must be able to keep up with the speed 283 00:11:14,630 --> 00:11:16,950 that papers are generated, at least 284 00:11:16,950 --> 00:11:19,620 in his or her particular field. 285 00:11:19,620 --> 00:11:22,410 And we thought that undergrad students 286 00:11:22,410 --> 00:11:25,620 should learn these skills as soon as possible. 287 00:11:25,620 --> 00:11:29,770 Even if they don't want to do research or go to grad school, 288 00:11:29,770 --> 00:11:34,350 even if they want to be successful in their own career, 289 00:11:34,350 --> 00:11:37,110 or if they want to go to industry or whatever, 290 00:11:37,110 --> 00:11:39,240 it's a great skill set for them to be 291 00:11:39,240 --> 00:11:43,050 able to search and learn from internet and from papers 292 00:11:43,050 --> 00:11:44,070 and articles. 293 00:11:44,070 --> 00:11:46,500 So we thought it's a good opportunity 294 00:11:46,500 --> 00:11:50,160 to pay back to the community and teach them 295 00:11:50,160 --> 00:11:53,647 how to read the papers and how to think critically. 296 00:11:53,647 --> 00:11:55,230 MIGUEL JIMENEZ: For me, personally, it 297 00:11:55,230 --> 00:11:58,220 seemed like a very interesting way to look at the literature 298 00:11:58,220 --> 00:12:00,878 that I already looked at, but from a different angle. 299 00:12:00,878 --> 00:12:03,420 When you're trying to teach it and think about it critically, 300 00:12:03,420 --> 00:12:05,760 I think I felt like I also was able to, then, 301 00:12:05,760 --> 00:12:09,240 look at the literature even more critically through the eyes 302 00:12:09,240 --> 00:12:11,330 of the students. 303 00:12:11,330 --> 00:12:13,095 And you have to balance both teaching 304 00:12:13,095 --> 00:12:14,970 and developing the course with your research, 305 00:12:14,970 --> 00:12:16,892 but I would really encourage other postdocs 306 00:12:16,892 --> 00:12:18,600 to take advantage of these opportunities. 307 00:12:18,600 --> 00:12:21,510 Because actually, in doing so, you actually 308 00:12:21,510 --> 00:12:23,220 get to kind of look at your own research 309 00:12:23,220 --> 00:12:24,430 from a different perspective. 310 00:12:24,430 --> 00:12:26,102 And so it's good to have that in mind. 311 00:12:26,102 --> 00:12:27,810 I would definitely encourage other people 312 00:12:27,810 --> 00:12:31,700 to take advantage of these types of things.