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Author: Meghna Datta Page 1 of 3

What does it take to be a successful PhD student? Two grad students in statistics weigh in

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On May 10, 2023

In Mathematics, Statistics, Students

With so many different career options in life, how do you know that you’ve found the right one for you?

Graduate students Edric Tam and Andrew McCormack, when asked what they hope to be doing in ten years, said they’d choose to do exactly the kind of work they’re doing right now – so clearly, they’ve found the right path. Tam, who obtained his undergraduate degree in Biomedical Engineering, Neuroscience and Applied Mathematics from Johns Hopkins University, and McCormack, who came from the University of Toronto with a degree in Statistics, are now 5th-year PhD students in the Department of Statistical Sciences. Tam works with Professor David Dunson, while McCormack works with Professor Peter Hoff, and both hope to pursue research careers in statistics.

Edric Tam
Andrew McCormack

Research interests

For the past five years, McCormack has been doing more theoretical research, looking at how geometry can lend insights into statistical models. The example he gives is of the Fisher information matrix, a statistical model that many undergraduate statistics majors learn in their third or fourth year.

Tam, meanwhile, looks at data with unique graphical and connectivity structures that aren’t quite linear or easily modeled, such as a brain connectome or a social network. In doing so, he works on answering two questions – how can you model data like this, and how can you leverage the unique structure of the data in the process?

What both Tam and McCormack like about the field of statistics is that, as Tam puts it, “you get to play in everyone’s backyard.” Moreover, as McCormack says, the beauty of theoretical research is that, while it’s certainly more time-consuming and incremental, it is often timeless, giving insight into something previously unknown.

On walking the research path

What does it take to be a successful PhD student? Both McCormack and Tam agree that a PhD is just a degree – anyone can get one if you work hard. But what sustains both through a career in research is a passion for what they do. Tam says that “you need inherent motivation, curiosity, passion, and drive.” McCormack adds that it helps if you work on problems that are interesting to you. 

Tam, who spent some time in a biomedical engineering lab during his undergraduate years, remembers reading about math and statistics the entire time he was there, which signaled to him that maybe, biomedical engineering wasn’t for him. McCormack’s defining moment occurred in the proof-based classes he took while as an undergraduate. He initially wanted to pursue a career in finance, but he quickly became enamored by the elegant precision of mathematical proofs – “even if all you’re proving is that 1+1=2!”

“You need inherent motivation, curiosity, passion, and drive.”

Edric tam, on what it takes to pursue a career in research

Even with passion for what you do, however, research can have its ups and downs. McCormack describes the rollercoaster of coming up with a new idea, convinced that “this is a paper right here”, and then a day later, after he’s had time to think about the idea, realizing that it isn’t quite up to the mark. Tam, who considers himself a pretty laidback person, sometimes finds the Type A personalities in research, as in any career field, too intense. Both McCormack and Tam prefer to not take themselves too seriously, and both exude a love for – and a trust of – the process.

Tam, not taking himself too seriously

Reflections on the past and the future

Upon graduation, McCormack will move to Germany to pursue a post-doc before beginning a job as Assistant Professor in Statistics at the University of Alberta. Tam will continue his research at Duke before applying to post-doc programs. In reflecting on their paths that have brought them till now, both feel content with the journey they’ve taken.

Tam sees the future in front of him – from PhD to post-doc to professorship – as “just a change in the title, with more responsibility”, and is excited to embark on his post-doc, where he gets to continue to do the research he loves. “It doesn’t get much better than this,” he laughs, and McCormack agrees. When McCormack joins the faculty at the University of Alberta, he’s looking forward to mentoring students in a much larger capacity, although he comments that the job will probably be challenging and he’s expecting to feel a little bit of imposter syndrome as he settles in.

When asked for parting thoughts, both Tam and McCormack emphasize that the best time to get into statistics and machine learning is right now. The advent of ChatGPT, for example, could replace jobs and transform education. But given their love for the field, this recommendation isn’t surprising. As Tam succinctly puts it, “given a choice between doing math and going out with friends, I would do math –  unless that friend is Andy!”

Post by Meghna Datta, Class of 2023

When Art and Science Meet as Equals

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On May 5, 2023

In Art, Artificial Intelligence, Computers/Technology, Students, Visualization

Artists and scientists in today’s world often exist in their own disciplinary silos. But the Laboratory Art in Practice Bass Connections team hopes to rewrite this narrative, by engaging Duke students from a range of disciplines in a 2-semester series of courses designed to join “the artist studio, the humanities seminar room, and the science lab bench.” Their work culminated in “re:process” – an exhibition of student artwork on Friday, April 28, in the lobby of the French Family Science Center. Rather than science simply engaging artistic practice for the sake of science, or vice versa, the purpose of these projects was to offer an alternate reality where “art and science meet as equals.”

The re:process exhibition

Liuren Yin, a junior double-majoring in Computer Science and Visual and Media Studies, developed an art project to focus on the experience of prosopagnosia, or face blindness. Individuals with this condition are unable to tell two distinct faces apart, including their own, often relying on body language, clothing, and the sound of a person’s voice to determine the identity of a person. Using her experience in computer science, she developed an algorithm that inputs distinct faces and outputs the way that these faces are perceived by someone who has prosopagnosia.

Yin’s project exploring prosopagnosia

Next to the computer and screen flashing between indistinguishable faces, she’s propped up a mirror for passers-by to look at themselves and contemplate the questions that inspired her to create this piece. Yin says that as she learned about prosopagnosia, where every face looks the same, she found herself wondering, “how am I different from a person that looks like me?” Interrogating the link between our physical appearance and our identity is at the root of Yin’s piece. Especially in an era where much of our identity exists online and appearance can be curated any way one wants, Yin considers this artistic piece especially timely. She writes in her program note that “my exposure to technologies such as artificial intelligence, generative algorithms, and augmented reality makes me think about the combination and conflict between human identity and these futuristic concepts.”

Eliza Henne, a junior majoring in Art History with a concentration in Museum Theory and Practice, focused more on the biological world in her project, which used a lavender plant in different forms to ask questions like “what is truthful, and what do we consider real?” By displaying a live plant, an illustration of a plant, and pressings from a plant, she invites viewers to consider how every rendition of a commonly used model organism in scientific experiments omits some information about the reality of the organism.

Junior Eliza Henne

For example, lavender pressings have materiality, but there’s no scent or dimension to the plant. A detailed illustration is able to capture even the way light illuminates the thin veins of the leaf, but is merely an illustration of a live being. The plant itself, which is conventionally real, can only further be seen in this sort of illustrative detail under a microscope or in a diagram.

In walking through the lobby of FFSC, where these projects and more are displayed, you’re surrounded by conventionally scientific materials, like circuit boards, wires, and petri dishes, which, in an unusual turn of events are being used for seemingly unscientific endeavors. These endeavors – illustrating the range of human emotion, showcasing behavioral patterns like overconsumption, or demonstrating the imperfection inherent to life – might at first glance feel more appropriate in an art museum or a performing arts stage.

But the students and faculty involved in this exhibition see that as the point. Maybe it isn’t so unnatural to build a bridge between the arts and the sciences – maybe, they are simply two sides of the same coin.

Post by Meghna Datta, Class of 2023

Meet Some of the Teams at the Bass Connections Showcase

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On April 26, 2023

In Animals, Behavior/Psychology, Field Research, Medicine, Policy, Responsible Conduct, Science Communication & Education, Students

If you weren’t outside enjoying the sun on Wednesday, April 19, you were probably milling around Penn Pavilion, a can of LaCroix in hand, taking in the buzz and excited chatter of students presenting at the 2023 Fortin Foundation Bass Connections Showcase.

Open floor presentations at the 2023 Bass Connections Showcase

This annual celebration of Bass Connections research projects featured more than 40 interdisciplinary teams made up of Duke faculty, graduate students, undergraduate students, and even partners from other research institutions.

Research teams presented posters and lightning talks on their findings. You might have heard from students aiming to increase representation of women in philosophy; or perhaps you chatted with teams researching physiotherapy in Uganda or building earthquake warning systems in Nepal. Below, meet three such teams representing a wide variety of academic disciplines at Duke.

Building sustainable university-community partnerships

As Bass Connections team member Joey Rauch described, “this is a poster about all of these other posters.” Rauch, who was presenting on behalf of his team, Equitable University-Community Research Partnerships, is a senior double-majoring in Public Policy and Dance. His interest in non-profit work led him to get involved in the team’s research, which aims to offer a framework for ethical and effective university-community research collaboration – exactly what teams do in Bass Connections. The group looked at complicated factors that can make equitable relationships difficult, such as university incentive structures, power dynamics along racial, socioeconomic, and ethnic lines, and rigid research processes.

Senior Joey Rauch with his team’s 2nd-place poster!

Along the lines of rigid research, when asked about what his favorite part of Bass Connections has been, Rauch remarked that “research is oddly formal, so having a guiding hand through it” was helpful. Bass Connections offers an instructive, inclusive way for people to get involved in research, whether for the first or fourth time. He also said that working with so many people from a variety of departments of Duke gave him “such a wealth of experience” as he looks to his future beyond Duke.

For more information about the team, including a full list of all team members, click here.

Ensuring post-radiation wellness for women

From left to right: seniors Danica Schwartz, Shernice Martin, Kayle Park, and Michelle Huang

Seniors Michelle Huang, Shernice Martin, Kayle Park, and Danica Schwartz (all pictured) were gathered around the poster for their team, Promoting Sexual Function and Pelvic Health in Women’s Healthcare.

The project has been around for three years and this year’s study, which looked at improving female sexual wellness after pelvic radiation procedures, was in fact a sister study to a study done two years prior on reducing anxiety surrounding pelvic exams.

As Huang described, graduate students and faculty conducted in-depth interviews with patients to better understand their lived experiences. This will help the team develop interventions to help women after life events that affect their pelvic and sexual health, such as childbirth or cancer treatment. These interventions are grounded in the biopsychosocial model of pain, which highlights the links between emotional distress, cognition, and pain processing.

For more information about the team, including a full list of all team members, click here.

From dolphins to humans

Sophomores Noelle Fuchs and Jack Nowacek were manning an interactive research display for their team, Learning from Whales: Oxygen, Ecosystems and Human Health. At the center of their research question is the condition of hypoxia, which occurs when tissues are deprived of an adequate oxygen supply.

Sophomores Noelle Fuchs and Jack Nowacek

Hypoxia is implicated in a host of human diseases, such as heart attack, stroke, COVID-19, and cancer. But it is also one of the default settings for deep-diving whales, who have developed a tolerance for hypoxia as they dive into the ocean for hours while foraging.

The project, which has been around for four years, has two sub-teams. Fuchs, an Environmental Science and Policy major, was on the side of the team genetically mapping deep-diving pilot whales, beaked whales, and offshore bottlenose dolphins off the coast of Cape Hatteras  to identify causal genetic variants for hypoxia tolerance within specific genes. Nowacek, a Biology and Statistics double-major, was on the other side of the research, analyzing tissue biopsies of these three cetaceans to conduct experiences on hypoxia pathways.  

The team has compiled a closer, more interactive look into their research on their website.

And when asked about her experience being on this team and doing this research, Fuchs remarked that Bass Connections has been a  “great way to dip my toe into research and figure out what I do and don’t want to do,” moving forward at Duke and beyond.

For more information about the team, including a full list of all team members, click here.

Post by Meghna Datta, Class of 2023

Senior Jenny Huang on her Love for Statistics and the Scientific Endeavor

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On April 13, 2023

In Artificial Intelligence, Data, Engineering, Statistics, Students

Statistics and computer science double major Jenny Huang (T’23) started Duke as many of us do – vaguely pre-med, undecided on a major – but she knew she had an interest in scientific research. Four years later, with a Quad Fellowship and an acceptance to MIT for her doctoral studies, she reflects on how research shaped her time at Duke, and how she hopes to impact research.

Jenny Huang (T’23)

What is it about statistics? And what is it about research?

With experience in biology research during high school and during her first year at Duke, Huang toyed with the idea of an MD/PhD, but ultimately realized that she might be better off dropping the MD. “I enjoy figuring out how the world works” Huang says, and statistics provided a language to examine the probabilistic and often unintuitive nature of the world around us.

In another life, Huang remarked, she might have been a physics and philosophy double major, because physics offers the most fundamental understanding of how the world works, and philosophy is similar to scientific research: in both, “you pursue the truth through cyclic questioning and logic.” She’s also drawn to engineering, because it’s the process of dissecting things until you can “build them back up from first principles.”

At the International Society for Bayesian Analysis summer conference in Montreal

Huang’s research and the impact of COVID-19

For Huang, research started her first year at Duke, on a Data+ team, led by Professor Charles Nunn, studying the variation of parasite richness across primate species. To map out what types of parasites interacted with what type of monkeys, the team relied on predictors such as body mass, diet, and social activity, but in the process, they came up against an interesting phenomenon.

It appeared that the more studied a primate was, the more interactions it would have with parasites, simply because of the amount of information available on the primate. Due to geographic and experimental constraints, however, a large portion of the primate-parasite network remained understudied. This example of a concept in statistics known as sampling bias was muddling their results. One day, while making an offhand remark about the problem to one of her professors (Professor David Dunson), Huang ended up arranging a serendipitous research match. It turned out that Dunson had a statistical model that could be applied to the problem Nunn and the Data+ team were facing.

The applicability of statistics to a variety of different fields enamored Huang. When COVID-19 hit, it impacted all of us to some degree, but for Huang, it provided the perfect opportunity to apply mathematical models to a rapidly-changing pandemic. For the past two summers, through work with Dunson on a DOMath project, as well as Professor Jason Xu and Professor Rick Durrett, Huang has used mathematical modeling to assess changes in the spread of COVID-19.

On inclusivity in research

As of 2018, just 28% of graduates in mathematics and statistics at the doctoral level identified as women. Huang will eventually be included in this percentage, seeing as she begins her Ph.D. at MIT’s Department of Electrical Engineering and Computer Science in the fall, working with Professor Tamara Broderick.

“When I was younger, I always thought that successful and smart people in academia were white men,” Huang laughed. But that’s not true, she emphasizes: “it’s just that we don’t have other people in the story.” As one of the few female-presenting people in her research meetings, Huang has often felt pressure to underplay her more, “girly” traits to fit in. But interacting with intelligent, accomplished female-identifying academics in the field (including collaborations with Professor Cynthia Rudin) reaffirms to her that it’s important to be yourself: “there’s a place for everyone in research.”

At the Joint Statistical Meetings Conference in D.C with fellow researcher Gaurav Parikh

Advice for first-years and what the future holds

While she can’t predict where exactly she’ll end up, Huang is interested in taking a proactive role in shaping the impacts of artificial intelligence and machine learning on society. And as the divide between academia and industry is becoming more and more gray, years from now, she sees herself existing somewhere in that space.

Her advice for incoming Duke students and aspiring researchers is threefold. First, Huang emphasizes the importance of mentorship. Having kind and validating mentors throughout her time at Duke made difficult problems in statistics so much more approachable for her, and in research, “we need more of that type of person!”

Second, she says that “when I first approached studying math, my impatience often got in the way of learning.” Slowing down with the material and allowing herself the time to learn things thoroughly helped her improve her academic abilities.

Being around people who have this shared love and a deep commitment for their work is just the human endeavor at its best.

Jenny huang

Lastly, she stresses the importance of collaboration. Sometimes, Huang remarked,“research can feel isolating, when really it is very community-driven.” When faced with a tough problem, there is nothing more rewarding than figuring it out together with the help of peers and professors.  And she is routinely inspired by the people she does research with: “being around people who have this shared love and a deep commitment for their work is just the human endeavor at its best.”

Post by Meghna Datta, Class of 2023

(Editor’s note: This is Jenny’s second appearance on the blog. As a senior at NC School of Science and Math, she wrote a post about biochemist Meta Kuehn.)

How Research Helped One Pre-med Discover a Love for Statistics and Computer Science

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On March 23, 2023

In Artificial Intelligence, Computers/Technology, Data, Genetics/Genomics, Medicine, Neuroscience, Students

If you’re a doe-eyed first-year at Duke who wants to eventually become a doctor, chances are you are currently, or will soon, take part in a pre-med rite of passage: finding a lab to research in.

Most pre-meds find themselves researching in the fields of biology, chemistry, or neuroscience, with many hoping to make research a part of their future careers as clinicians. Undergraduate student and San Diego native Eden Deng (T’23) also found herself plodding a similar path in a neuroimaging lab her freshman year.

Eden Deng T’23

At the time, she was a prospective neuroscience major on the pre-med track. But as she soon realized, neuroimaging is done through fMRI. And to analyze fMRI data, you need to be able to conduct data analysis.

This initial research experience at Duke in the Martucci Lab, which looks at chronic pain and the role of the central nervous system, sparked a realization for Deng. “Ninety percent of my time was spent thinking about computational and statistical problems,” she explained to me. Analysis was new to her, and as she found herself struggling with it, she thought to herself, “why don’t I spend more time getting better at that academically?”

Deng at the Martucci Lab

This desire to get better at research led Deng to pursue a major in Statistics with a secondary in Computer Science, while still on the pre-med track. Many people might instantly think about how hard it must be to fit in so much challenging coursework that has virtually no overlap. And as Deng confirmed, her academic path not been without challenges.

For one, she’s never really liked math, so she was wary of getting into computation. Additionally, considering that most Statistics and Computer Science students want to pursue jobs in the technology industry, it’s been hard for her to connect with like-minded people who are equally familiar with computers and the human body.

“I never felt like I excelled in my classes,” Deng said. “And that was never my intention.” Deng had to quickly get used to facing what she didn’t know head-on. But as she kept her head down, put in the work, and trusted that eventually she would figure things out, the merits of her unconventional academic path started to become more apparent.

Research at the intersection of data and health

Last summer, Deng landed a summer research experience at Mount Sinai, where she looked at patient-level cancer data. Utilizing her knowledge in both biology and data analytics, she worked on a computational screener that scientists and biologists could use to measure gene expression in diseased versus normal cells. This will ultimately aid efforts in narrowing down the best genes to target in drug development. Deng will be back at Mount Sinai full-time after graduation, to continue her research before applying to medical school.

Deng presenting on her research at Mount Sinai

But in her own words, Deng’s most favorite research experience has been her senior thesis through Duke’s Department of Biostatistics and Bioinformatics. Last year, she reached out to Dr. Xiaofei Wang, who is part of a team conducting a randomized controlled trial to compare the merits of two different lung tumor treatments.

Generally, when faced with lung disease, the conservative approach is to remove the whole lobe. But that can pose challenges to the quality of life of people who are older, with more comorbidities. Recently, there has been a push to focus on removing smaller sections of lung tissue instead. Deng’s thesis looks at patient surgical data over the past 15 years, showing that patient survival rates have improved as more of these segmentectomies – or smaller sections of tissue removal – have become more frequent in select groups of patients.

“I really enjoy working on it every week,” Deng says about her thesis, “which is not something I can usually say about most of the work I do!” According to Deng, a lot of research – hers included – is derived from researchers mulling over what they think would be interesting to look at in a silo, without considering what problems might be most useful for society at large. What’s valuable for Deng about her thesis work is that she’s gotten to work closely with not just statisticians but thoracic surgeons. “Originally my thesis was going to go in a different direction,” she said, but upon consulting with surgeons who directly impacted the data she was using – and would be directly impacted by her results – she changed her research question. 

The merits of an interdisciplinary academic path

Deng’s unique path makes her the perfect person to ask: is pursuing seemingly disparate interests, like being a Statistics and Computer Science double-major on the pre-med, track worth it? And judging by Deng’s insights, the answer is a resounding yes.

At Duke, she says, “I’ve been challenged by many things that I wouldn’t have expected to be able to do myself” – like dealing with the catch-up work of switching majors and pursuing independent research. But over time she’s learned that even if something seems daunting in the moment, if you apply yourself, most, if not all things, can be accomplished. And she’s grateful for the confidence that she’s acquired through pursuing her unique path.

Moreover, as Deng reflects on where she sees herself – and the field of healthcare – a few years from now, she muses that for the first time in the history of healthcare, a third-party player is joining the mix – technology.

While her initial motivation to pursue statistics and computer science was to aid her in research, “I’ve now seen how its beneficial for my long-term goals of going to med school and becoming a physician.” As healthcare evolves and the introduction of algorithms, AI and other technological advancements widens the gap between traditional and contemporary medicine, Deng hopes to deconstruct it all and make healthcare technology more accessible to patients and providers.

“At the end of the day, it’s data that doctors are communicating to patients,” Deng says. So she’s grateful to have gained experience interpreting and modeling data at Duke through her academic coursework.

And as the Statistics major particularly has taught her, complexity is not always a good thing – sometimes, the simpler you can make something, the better. “Some research doesn’t always do this,” she says – she’s encountered her fair share of research that feels performative, prioritizing complexity to appear more intellectual. But by continually asking herself whether her research is explainable and applicable, she hopes to let those two questions be the North Stars that guide her future research endeavors.

At the end of the day, it’s data that doctors are communicating to patients.

Eden Deng

When asked what advice she has for first-years, Deng said that it’s important “to not let your inexperience or perceived lack of knowledge prevent you from diving into what interests you.” Even as a first-year undergrad, know that you can contribute to academia and the world of research.

And for those who might be interested in pursuing an academic path like Deng, there’s some good news. After Deng talked to the Statistics department about the lack of pre-health representation that existed, the Statistics department now has a pre-health listserv that you can join for updates and opportunities pertaining specifically to pre-med Stats majors. And Deng emphasizes that the Stats-CS-pre-med group at Duke is growing. She’s noticed quite a few underclassmen in the Statistics and Computer Science departments who vocalize an interest in medical school.

So if you also want to hone your ability to communicate research that you care about – whether you’re pre-med or not – feel free to jump right into the world of data analysis. As Deng concludes, “everyone has something to say that’s important.”

Post by Meghna Datta, Class of 2023

What is it like to Direct a Large, Externally-Funded Research Center?

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On January 30, 2023

In Artificial Intelligence, Biomedical Engineering, Chemistry, Faculty, Science Communication & Education

What are the trials and tribulations one can expect? And conversely, what are the highlights? To answer these questions, Duke Research & Innovation Week kicked off with a panel discussion on Monday, January 23.

The panel

Moderated by George A. Truskey, Ph.D, the Associate Vice President for Research & Innovation and a professor in the Department of Biomedical Engineering, the panelists included…

  • Claudia K. Gunsch, Ph.D., a professor in the Departments of Civil & Environmental Engineering, Biomedical Engineering, and Environmental Science & Policy. Dr. Gunsch is the director of the NSF Engineering Research Center for Microbiome Engineering (PreMiEr) and is also the Associate Dean for Duke Engineering Research & Infrastructure.
Dr. Claudia Gunsch
  • Yiran Chen, Ph.D., a professor in the Department of Electrical & Computer Engineering. Dr. Chen is the director of the NSF AI Institute for Edge Computing (Athena).
Dr. Yiran Chen
  • Stephen Craig, Ph.D., a professor in the Department of Chemistry. Dr. Craig is the director of the Center for the Chemistry of Molecularly Optimized Networks (MONET).
Dr. Stephen Craig

The centers

As the panelists joked, a catchy acronym for a research center is almost an unspoken requirement. Case in point: PreMiEr, Athena, and MONET were the centers discussed on Monday. As evidenced by the diversity of research explored by the three centers, large externally-funded centers run the gamut of academic fields.

PreMiEr, which is led by Gunsch, is looking to answer the question of microbiome acquisition. Globally, inflammatory diseases are connected to the microbiome, and studies suggest that our built environment is the problem, given that Americans spend on average less than 8% of time outdoors. It’s atypical for an Engineering Research Center (ERC) to be concentrated in one state but uniquely, PreMieR is. The center is a joint venture between Duke University, North Carolina A&T State University, North Carolina State University, the University of North Carolina – Chapel Hill and the University of North Carolina – Charlotte.

PreMiEr – not to be confused with the English Premier League

Dr. Chen’s Athena is the first funded AI institute for edge computing. Edge computing is all about improving a computer’s ability to process data faster and at greater volumes by processing data closer to where it’s being generated. AI is a relatively new branch of research, but it is growing in prevalence and in funding. In 2020, 7 institutes looking at AI were funded by the National Science Foundation (NSF), with total funding equaling 140 million. By 2021, 11 institutes were funded at 220 million – including Athena. All of these institutes span over 48 U.S states.

Athena, or the Greek goddess of wisdom, is a fitting name for a research center

MONET is innovating in polymer chemistry with Stephen Craig leading. Conceptualizing polymers as operating in a network, the center aims to connect the behaviors of a single chemical molecule in that network to the  behavior of the network as a whole. The goal of the center is to transform polymer and materials chemistry by “developing the knowledge and methods to enable molecular-level, chemical control of polymer network properties for the betterment of humankind.” The center has nine partner institutions in the U.S and one internationally.

MONET, like French painter Claude Monet

Key takeaways

Research that matters

Dr. Gunsch talked at length about how PreMiEr aspires to pursue convergent research. She describes this as identifying a large, societal challenge, then determining what individual fields can “converge” to solve the problem.

Because these centers aspire to solve large, societal problems, market research and industry involvement is common and often required in the form of an industry advisory group. At PreMiEr, the advisory group performs market analyses to assess the relevance and importance of their research. Dr. Chen also remarked that there is an advisory group at Athena, and in addition to academic institutions the center also boasts collaborators in the form of companies like Microsoft, Motorola, and AT&T.

Dr. Chen presenting on Athena’s partner institutions at Monday’s talk.

Commonalities in structure

Most research centers, like PreMiEr, Athena, and MONET, organize their work around pillars or “thrusts.” This can help to make research goals understandable to a lay audience but also clarifies the purpose of these centers to the NSF, other funding bodies, host and collaborating institutions, and the researchers themselves.

How exactly these goals are organized and presented is up to the center in question. For example, MONET conceptualizes its vision into three fronts – “fundamental chemical advances,” “conceptual advances,” and “technological advances.”

At Athena, the research is organized into four “thrusts” – “AI for Edge Computing,” “AI-Powered Computer Systems,” “AI-Powered Networking Systems,” and “AI-Enabled Services and Applications.”

Meanwhile, at PreMiEr, the three “thrusts” have a more procedural slant. The first “thrust” is “Measure,” involving the development of tracking tools and the exploration of microbial “dark matter.” Then there’s “Modify,” or the modification of target delivery methods based on measurements. Finally, “Modeling” involves predictive microbiome monitoring to generate models that can help analyze built environment microbiomes.  

A center is about the people  

“Collaborators who change what you can do are a gift. Collaborators who change how you think are a blessing.”

Dr. stephen craig

All three panelists emphasized that their centers would be nowhere without the people that make the work possible. But of course, humans complicate every equation, and when working with a team, it is important to anticipate and address tensions that may arise.

Dr. Craig spoke to the fact that successful people are also busy people, so what may be one person’s highest priority may not necessarily be another person’s priority. This makes it important to assemble a team of researchers that are united in a common vision. But, if you choose wisely, it’s worth it. As Dr. Craig quipped on one of his slides, “Collaborators who change what you can do are a gift. Collaborators who change how you think are a blessing.”

In academia, there is a loud push for diversity, and research centers are no exception. Dr. Chen spoke about Athena’s goals to continue to increase their proportions of female and underrepresented minority (URM) researchers. At PreMiEr, comprised of 42 scholars, the ratio of non-URM to URM researchers is 83-17, and the ratio of male to female researchers is approximately 50-50.

In conclusion, cutting-edge research is often equal parts thrilling and mundane, as the realities of applying for funding, organizing manpower, pushing through failures, and working out tensions with others sets in. But the opportunity to receive funding in order to start and run an externally-funded center is the chance to put together some of the brightest minds to solve some of the most pressing problems the world faces. And this imperative is summarized well by the words of Dr. Craig: “Remember: if you get it, you have to do it!”

Post by Megna Datta, Class of 2023

Truman Scholar Maya Durvasula, T’18, on her Research Journey Through Duke and Beyond

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On November 14, 2022

In Global Health, Policy, Students

Maya Durvasula, T’18, and a current Ph.D. student at Stanford University, grew up in Albuquerque, New Mexico. “And it’s hard to grow up there without a very keen sense of what it looks like when policy doesn’t work for people,” she remarks.

Maya Durvasula, T’18

After graduating high school with an interest in politics, she decided to take a gap year and bounced around organizations in New Mexico, working for the state legislature, political campaigns, and even a think tank. In hindsight, she says, “Having a block of time where you have time is super helpful.” One thing she learned was that she didn’t really want to do politics. “People were making policy, but debates were heavy on feelings and politics and light on facts.”

A high school mentor suggested that maybe she would get along better with economists than politicians, so once she got to Duke, she took that to heart.

As a first-year, she says, she knew she wanted to be exposed to a lot of things, and she knew she wanted to do research, but she wasn’t really sure what “research” meant for a first-year. In the beginning, she cold-emailed a lot of people and received multiple rejections.

After rejection, though, eventually something clicks, and for Durvasula, what clicked were three main research projects she undertook in her time at Duke.

The instinct is always to start with where you want to end up and then work backward, but you don’t know where you’re going to end up”

Maya Durvasula, T’18

Her first experience in a research group was a joint venture between an academic team in China and at UNC-Chapel Hill. Their group studied behavioral interventions to increase the uptake of health technologies, with a particular focus on sexual health. Usually, as a country industrializes, the rates of sexually transmitted infections will drop, but in China, rates of HIV and syphilis continued to rise as the economy grew. Durvasula and the team looked at different interventions that might make testing for HIV more attractive to patients, such as alternative testing locations, different advertisement design, and compensation.

She also did a project with Duke professor Bob Korstad in the history department and the Samuel DuBois Cook Center on Social Equity, looking at the history of housing in Durham. Finally, she worked with her primary advisor, Duke economics professor Duncan Thomas, in his joint lab with UNC’s Elizabeth Frankenberg, on projects related to household decision-making in Indonesia.

Duke Economics Thesis Symposium in 2018

A notable part of her undergraduate time at Duke was winning the Truman Scholarship. What was most valuable to her about the Truman was the people she met. “Most people I’ve met are defined by picking something they care about and doing a lot with it,” she says. And it’s inspiring to be surrounded by people who love what they do and immerse themselves so wholly in it.

Duke Economics Graduation, 2018

Durvasula graduated Duke with numerous experiences and accolades under her belt. But from there, how did she find her way to doing a Ph.D. at the intersection of law, technology, and economics? As she describes it, the interplay between economics and law is inextricable. Both economic incentive and legal institutions affect the rate and direction of innovation, which affects how quickly technology is developed, and ultimately what products ends up in our hands. A question at the heart of her research is wondering how to make sure the value of this technology is distributed equally across society.

So five to ten years from now, where will we see Durvasula? She sees herself remaining in academia, although at some point she wants to work in public service. “I love learning new things, and I want to take advantage of being in a space where people are always willing to teach you things.”

And in that vein, her advice to a curious Duke student is to explore everything. “The instinct is always to start with where you want to end up and then work backward, but you don’t know where you’re going to end up,” she said.

Pursue the questions that you find exciting, and let that point you in the right direction – clearly, Durvasula is proof that this process will take you places.

Post by Meghna Datta, Class of 2023

Duke Alum Dr. Quinn Wang on Medicine, a Healthcare Startup, and the Senior Thesis That Started it All

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On November 8, 2022

In Entrepreneurship, Medicine, Students

As a senior at Duke University in 2010, Dr. Quinn Wang was simply Quinn, an undergraduate English major on the pre-med track, wondering how to combine her love for medicine with her love for English. This is how her senior thesis was conceived – Through the Lens of Medicine: Landscapes of Violence in Cormac McCarthy’s Blood Meridian (1985), All the Pretty Horses (1992), and No Country for Old Men (2005) – which ended up winning the English department’s award for “Most Original Honors Thesis.”

Dr. Quinn Wang

Fast forward 12 years, and Wang can now call herself a double Dukie, having completed medical school here. She went on to complete ophthalmology residency at UCSF and this past Saturday, November 5, came back to her alma mater as part of the Duke Medical Ethics Journal’s Medicine, Humanities, and Business celebration to talk to an eager audience at Schiciano Auditorium about her path from Duke until now.  

She began her story during the infamous year of 2020, when she was forced to stop seeing patients at her private practice in California’s Bay Area due to COVID-19. Restless and anxious about how her patients were doing, she tried to keep up with them as best she could, but of course there were limitations. And then, a few months in, one of her patients went blind.

This tragic moment sparked a frustrating realization by Wang that in the tech capital of the world – San Francisco – there was still no good way to test people’s eyesight from home to prevent what should have been preventable. She decided to put together something herself, guided by the one question she thought was most important to answer until COVID-19 abated and people could come into clinics again – “how do we make sure people don’t go blind?”

Wang took common visual eye-testing tools used in clinics, and with some simple Photoshop editing and a little bit of code, turned them into a series of easy multiple-choice questions that could be answered from home. This simple but powerful transformation turned into Quadrant Eye, a start-up she co-founded with software engineer Kristine Hara.

A common visual tool used to test eyesight is the Snellen chart

The Quadrant Eye journey has taken her from running a private practice as an ophthalmologist to taking the plunge into business by applying to and getting selected for Y Combinator, which calls itself a “graduate school for startups”. YC invests $500,000 into a selection of early-stage startups twice a year. Then, for three intense months, they provide support to get startups off the ground and in good shape to present to investors for funding. At YC, Hara worked on turning Quadrant Eye into an app, and Wang renewed hundreds of prescriptions.

Quadrant Eye

Ultimately, though, the most significant place Quadrant Eye has led Wang to is a journey of self-mastery that applies to any human endeavor, from building a startup to doing research to just getting up every morning.  As she describes, startup life entails always learning new things and always messing up – which, for someone who professes that “I don’t like to do things I’m not good at” – can be challenging. She candidly admitted that she, like everyone, has bad days, when sometimes all she can do is throw in the towel and end work early. “I have more doubts than I care to admit,” Wang says, but at the end of the day, “we’re all climbing our own mountains”. Pushing through requires “superhuman effort” but it’s worth it.

And as for that English thesis? Wang describes how Quadrant Eye’s very first investor – “let’s call him Charlie” – asked her all the requisite questions investors ask early-stage startups (think Shark Tank). But he also asked her for something non-traditional – all fifty or so pages of her undergraduate honors thesis she had written ten years back. Apparently, he had seen a mention of it on LinkedIn and was intrigued. A few weeks later, Wang received a phone call that he was interested in investing – and he admitted that her thesis had played a part. To him, the uniqueness and quality of her thesis showed that Wang could problem-solve, communicate well, and think creatively, and Wang herself agrees. “My English thesis showed me that I can do hard things,” she said, and if Quadrant Eye is any indication, clearly, she can.

Post by Meghna Datta, Class of 2023

Insights on Health Policy Research from Undergraduate Cynthia Dong

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On November 7, 2022

In Medicine, Neuroscience, Students

“After COVID-19,” senior Cynthia Dong (T’23) remarks, “so much of what was wrong with the medical system became visible.”

Duke undergraduate Cynthia Dong, Class of 2023

This realization sparked an interest in how health policy could be used to shape health outcomes. Dong, who is pursuing a self-designed Program II major in Health Disparities: Causes and Policy Solutions, is a Margolis Scholar in Health Policy and Management. Her main research focus is telehealth and inequitable access to healthcare. Her team looks at patient experiences with telehealth, and where user experience can be improved. In fact, she’s now doing her thesis as an offshoot of this work, researching how telehealth can be used to increase access to healthcare for postpartum depression.

Presenting research on telehealth

In addition to her health policy work, however, Dong also works as a research assistant in the neurobiology lab of Dr. Anne West, and her particular focus is on the transcription mechanism of the protein BDNF, or brain-derived neurotrophic factor.

While lab research can be clearly visualized by most people (think pipettes, rows of benches littered with bottles and plastic tubes, blue rubber gloves everywhere), health policy research is perhaps a little more abstract. When asked what the process of research through Margolis is like, Dong says that “it’s not team-based or individual – it’s a lot of both.” This looks like individual research on specific topics, talking to different stakeholder groups and people with certain expertise, and then convening for weekly team meetings.

With other Margolis Scholars

For Dong, research has been invaluable in teaching her to apply knowledge to something tangible. Doing that, you’re often “forced to understand that not everything is in my control.” But on the flip side, research can also be frustrating for her because so much of it is uncertain. “Will your paper get published? Is what you’re doing relevant to the research community? Will people invest in you?”

In that vein, research has humbled her a lot. “What it means to try to solve a societal problem is that it’s not always easy, you have to break it down into chunks, and even those chunks can be hard to solve.”

After graduation, Dong plans on taking a couple of gap years to be with family and scribe before ultimately pursuing an MD-MPH. Because research can be such a long, arduous process, she says that “It took me a long time to realize that the work we do matters.” In the future, though, she anticipates that her research through Margolis will directly inform her MPH studies, and that “with the skills I’ve learned, I can help create good policy that can address the issues at hand.”

An Interview With Undergraduate Researchers and Labmates Deney Li and Amber Fu (T’23)

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On November 1, 2022

In Medicine, Neuroscience, Students

What brings seniors Deney Li and Amber Fu together? Aside from a penchant for photoshoots (keep scrolling) and neurobiology, both of them are student research assistants at the lab of Dr. Andrew West, which is researching the mechanisms underlying Parkinson’s in order to develop therapeutics to block disease progression. Ahead lie insights on their lab work, their lab camaraderie, and even some wisdom on life.

(Interview edited for clarity. Author notes in italics.)

What are you guys studying here at Duke? What brought you to the West lab?

DL:  I am a biology and psychology double major, with a pharmacology concentration. I started working at a lab spring semester of freshman year that focused on microbial and environmental science, but that made me realize that microbiology wasn’t really for me. I’ve always known I wanted to try something in pharmaceutics and translational medicine, so I transitioned to a new lab in the middle of COVID, which was the West lab. The focus of the West lab is neurobiology and neuropharmacology, and looking back it feels like fate that my interests lined up so well!

Deney Li

AF: I am majoring in neuroscience with minors in philosophy and chemistry, on the pre-med track. I knew I wanted to get into research at Duke because I had done research in high school and liked it. I started at the same time as Deney – we individually cold-emailed at the same time too, in the fall! I was always interested in neuroscience but wasn’t pre-med at the time. A friend in club basketball said her lab was looking for people, and the lab was focused on neurobiology – which ended up being the West lab!  

Amber Fu

What projects are you working on in lab?

DL: My work mainly involves immunoassays that test for Parkinson’s biomarkers. My postdoc is Yuan Yuan, and we’re looking at four drugs that are kinase inhibitors (kinases are enzymes that phosphorylate other proteins in the body, which turns them either on or off). We administer these drugs to mice and rats, and look at LRRK2, Rab10 and phosphorylated Rab10 protein levels in serum at different time points after administration. These protein levels are important and indicative because more progressive forms of Parkinson’s are related to higher levels of these proteins.

AF: For the past couple of years, I’ve been working under Zhiyong Liu (a postdoc in the lab). There are multiple factors affecting Parkinson’s, and different labs ones study different factors. The West lab largely studies genetic factors, but what we’re doing is unique for the lab. There’s been a lot of research on how nanoplastics can go past the blood-brain barrier, so we are studying how this relates to mechanisms involved in Parkinson’s disease. Nanoplastics can catalyze alpha-synuclein aggregation, which is a hallmark of the disease. Specifically, my project is trying to make our own polystyrene nanoplastics that are realistic to inject into animal models.

What I’m doing is totally different from Deney – I’m studying the mechanisms surrounding Parkinson’s, Deney is more about drug and treatments – but that’s what’s cool about this lab – there are so many different people, all studying different things but coming together to elucidate Parkinson’s.

Another important project

How much time do you spend in lab?

DL: I’m in lab Mondays, Wednesdays, and Fridays from 9 to 6. All my classes are on Tuesdays and Thursdays!

AF: I’m usually in lab Tuesdays and Thursdays from 12 to 4, Fridays from 9 to 11:45, and then whenever else I need to be.

Describe lab life in three words:

DL: Unexpected growth (can I just do two)?

AF: Rewarding, stimulating, eye-opening.

Lab life also entails goats and pumpkins

What’s one thing you like about lab work and one thing you hate?

DL: What I like about lab work is being able to trouble-shoot because it’s so satisfying. If I’m working on a big project, and a problem comes up, that forces me to be flexible and think on my toes. I have to utilize all the soft skills and thinking capabilities I’ve acquired in my 21 years of life and then apply them to what’s happening to the project. The adrenaline rush is fun! Something I don’t like is that there’s lots of uncertainty when it comes to lab work. It’s frustrating to not be able to solve all problems.

AF: I like how I’ve been able to learn so many technical skills, like cryosectioning. At first you think they’re repetitive, but they’re essential to doing experiments. A process may look easy, but there are technical things like how you hold your hand when you pipette that can make a difference in your results. Something I don’t like is how science can sometimes become people-centric and not focused on the quality of research. A lab is like a business – you have to be making money, getting your grants in – and while that’s life it’s also frustrating.

What do you want to do in the future post-Duke? How has research informed that?

DL: I want to do a Ph.D. in neuropharmacology. I’m really interested in research on neurodegeneration but also have been reading a lot about addiction. So I’ll either apply to graduate school this year or next year. My ultimate goal would be to get into the biotech startup sphere, but that’s more of a 30-years-down-the-road goal! Being in this lab has taught me a lot about the pros and cons of research, which I’m thankful for. Lab contradicts with my personality in some ways– I’m very spontaneous and flexible, but lab requires a schedule and regularity, and I like the fact that I’ve grown because of that.

AF: The future is so uncertain! I am currently pre-med, but want to take gap years, and I’m not quite sure what I want to do with them. Best case scenario is I go to London and study bioethics and the philosophy of medicine, which are two things I’m really interested in. They both influence how I think about science, medicine, and research in general. After medical school, though, I have been thinking a lot about doing palliative care. So if London doesn’t work out, I want to maybe work in hospice, and definitely wouldn’t be opposed to doing more research – but eventually, medical school.

What’s one thing about yourself right now that your younger, first-year self would be surprised to know?

DL: How well I take care of myself. I usually sleep eight hours a day, wake up to meditate in the mornings most days, listen to my podcasts… freshman-year-Deney survived on two hours of sleep and Redbull.

AF: Freshman year I had tons of expectations for myself and met them, and now I’m meeting my expectations less and less. Maybe that’s because I’m pushing myself in my expectations, or maybe because I’ve learned not to push myself that much in achieving them. I don’t necessarily sleep eight hours and meditate, but I am a little nicer to myself than I used to be, although I’m still working on it. Also, I didn’t face big failures before freshman year, but I’ve faced more now, and life is still okay. I’ve learned to believe that things work out.

A hard day’s work

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