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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 Uncategorized

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

Student Researchers Share What They Know About AI and Health

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On December 8, 2022

In Artificial Intelligence, Data, Medicine, Students

The healthcare industry and academic medicine are excited about the potential for artificial intelligence — really clever computers — to make our care better and more efficient.

The students from Duke’s Health Data Science (HDS) and AI Health Data Science Fellowship who presented their work at the 2022 Duke AI Health Poster Showcase on Dec. 6 did an excellent job explaining their research findings to someone like me, who knows very little about artificial intelligence and how it works. Here’s what I learned:

Artificial intelligence is a way of training computer systems to complete complex tasks that ordinarily require human thinking, like visual categorization, language translation, and decision-making. Several different forms of artificial intelligence were presented that do healthcare-related things like sorting images of kidney cells, measuring the angles of a joint, or classifying brain injury in CT scans.

Talking to the researchers made it clear that this technology is mainly intended to be supplemental to experts by saving them time or providing clinical decision support.

Meet Researcher Akhil Ambekar

Akhil standing next to his poster “Glomerular Segmentation and Classification Pipeline Using NEPTUNE Whole Slide Images”

Akhil Ambekar and team developed a pipeline to automate the classification of glomerulosclerosis, or scarring of the filtering part of the kidneys, using microscopic biopsy images. Conventionally, this kind of classification is done by a pathologist. It is time-consuming and limited in terms of accuracy and reproducibility of observations. This AI model was trained by providing it with many questions and corresponding answers so that it could learn how to correctly answer questions. A real pathologist oversaw this work, ensuring that the computer’s training was accurate.

Akil’s findings suggest that this is a feasible approach for machine classification of glomerulosclerosis. I asked him how this research might be used in medicine and learned that a program like this could save expert pathologists a lot of time.

What was Akhil’s favorite part of this project? Engaging in research, experimenting with Python and running different models, trying to find what works best.

Meet Researcher Irene Tanner

Irene Tanner and her poster, “Developing a Deep Learning Pipeline to Measure the Hip-Knee-Ankle Angle in Full Leg Radiographs”

The research Irene Tanner and her team have done aims to develop a deep learning-based pipeline to calculate hip-knee-ankle angles from full leg x-rays. This work is currently in progress, but preliminary results suggest the model can precisely identify points needed to calculate the angles of hip to knee to ankle. In the future, this algorithm could be applied to predict outcomes like pain and physical function after a patient has a joint replacement surgery.

What was Irene’s favorite part of this project? Developing a relationship with mentor, Dr. Maggie Horn, who she said provided endless support whenever help was needed.

Meet Researcher Brian Lerner

Brian Lerner and his poster, “Using Deep Learning to Classify Traumatic Brain Injury in CT Scans”

Brian Lerner and his team investigated the application of deep learning to standardize and sharpen diagnoses of traumatic brain injury (TBI) from Computerized Tomography (CT) scans of the brain. Preliminary findings suggest that the model used (simple slice) is likely not sufficient to capture the patterns in the data. However, future directions for this work might examine how the model could be improved. Through this project, Brian had the opportunity to shadow a neurologist in the ER and speculated upon many possibilities for the use of this research in the field.

What was Brian’s favorite part of this project? Shadowing neurosurgeon Dr. Syed Adil at Duke Hospital and learning what the real-world needs for this science are.

Many congratulations to all who presented at this year’s AI Health Poster Showcase, including the many not featured in this article. A big thanks for helping me to learn about how AI Health research might be transformative in answering difficult problems in medicine and population health.

By Victoria Wilson, Class of 2023

COVID and Our Education

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On November 28, 2022

In Biology, Global Health, Lecture, Science Communication & Education

With mask mandates being overturned and numerous places going back to “normal,” COVID is becoming more of a subconscious thought. Now, this is not a true statement for the entire population, since there are people who are looking at the effects of the pandemic and the virus itself.

I attended a poster presentation for the “The Pandemic Divide” event hosted here at Duke by the Samuel Dubois Cook Center on Social Equity. To me, all the poster boards conveyed the theme of how COVID-19 had affected our lives in more ways than just our health. One connection that particularly caught my eye would be the one between American Education and COVID.

The poster for the conference

As a student who lived through COVID while attending high school, I can safely say that the pandemic has affected education. However, based on the posters I saw, it is important to know that education, too, has a strong and impactful impact on COVID-19.

Dr. Donald J. Alcendor after a great presentation

The first evidence I saw was from Donald J. Alcendor, an associate professor of microbiology and immunology at Meharry Medical College in Nashville. His poster was about the hesitancy surrounding COVID-19 vaccines. One way he and his team figured out to lessen the hesitance from the public was to improve the public’s trust. To achieve this, Alcendor and his team sent trusted messengers into the community. One of the types of messengers they provided was scientists who studied COVID-19. These scientists were able to bring factual information about the disease, how it spreads, and the best course of action to act against it. Alcendor and his research team also brought in “vaccine ambassadors” to the community and a mobile unit to help give the community vaccines. He noted that this was accomplished with support from the Bloomberg Foundation’s Greenwood Initiative, which addresses Black health issues.

With this mobile unit, Alcendor and his team were able to reach people and help those who were otherwise unable to receive help for themselves because of their lack of transportation. They provided people from all backgrounds with help and valuable information.

Alcindor said he and his team planned pop-up events based on where the community they were trying to reach congregates. With the African American community, he planned pop-up events at churches and schools. Then for the Latino community, he planned pop-events where families tend to gather, and he held events in Latin0 neighborhoods. In addition, he made sure that the information was available in Spanish at all levels, from the flyers and the surveys, to the vaccinators themselves.

All of these amenities that he and his group provided were able to educate the community about COVID-19 and improve their trust in the scientists working on the disease. Alcendor and his team were able to impact COVID-19 through education, and by going to the event, it was evident to me that he was not the only one who accomplished this.

Dr. Colin Cannonier and his poster

Colin Cannonier, an associate professor of economics at Belmont University in Nashville, asked and answered the question, “does education have an impact on COVID? Specifically, does it change health and wellbeing?” To answer this question, he researched how education about COVID can affect a person. He discovered that when a person is more educated about COVID, how it is spread, and its symptoms, they are more likely to keep the pandemic in check through their behavior. He came to this conclusion because he realized that when higher educated people know more about COVID, they exhibit behaviors to remain healthy, meaning that they would follow the health protocols given by the health officials.

While this may seem like common sense that the more educated a person is, the more they make smart choices pertaining to COVID, this shows how important education is and how deadly ignorance is. Cannonier’s research gave tangible evidence to show that education is a weapon against diseases. Unfortunately, it is evident that some officials did not believe in educating the public about the virus or the virus itself, and that proved to be extremely deadly.

To fully capture the relationship between COVID and education, one must also talk about how COVID-19 affected education.

Ms. Stacey Akines and her wonderful poster

Stacey Akines, a history graduate student at Carnegie Mellon University, studied how education was changed by the pandemic.

First, she realized that COVID schooling crossed over with homeschooling. Then she uncovered that more Black people started to research and teach their children about Black history. This desire to teach youth more about their history caused an increase in the number of Black homeschoolers. In fact, the number of Black homeschoolers doubled during the fall of 2020. While to some, this change to homeschooling may have a negative impact on one’s life, it actually gives the student more opportunities to learn things.

It is no secret that there are many books being banned here in the U.S., and there are many state curriculums that are changing to erase much of Black history. Homeschooling a child gives the parent an opportunity to ensure that the education they receive is true to and tells their history

Unlike me, where during high school, education felt lackluster and limited because of COVID, some parents saw an opportunity to better their child’s education.

A hall of Posters

I hope that it is clear that the relationship between COVID and education is a complex one. Both can greatly impact each other, whether it’s for the better or for the worse. COVID thrives when we are uneducated, and it very nearly destroyed education too, but for the efforts of some dedicated educators.

Post by Jakaiyah Franklin, Class of 2025

A Peek Inside the Climate Situation (V)room

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On November 21, 2022

In Climate/Global Change, Engineering, Entrepreneurship, Environment/Sustainability

As part of this year’s Energy Week at Duke, graduate and undergraduates were able to participate in a competitive “situation room” style event in which participants were split into five teams and given seventy-five minutes to create a plan for expanding EV (electric vehicle) access in Durham. 

For just over an hour in a Fuqua School of Business classroom, my fellow participants and I mulled over the complexities of an issue facing municipalities across the country and produced a variety of solutions, representative of the range of specialties within each group. One more CS-minded group proposed an app to both help residents locate charging stations and help the city collect data on the use of new EV infrastructure, while another group explored the technological and price saving perks of utility pole-mounted charging stations.

The resulting ideas were reviewed by a panel of judges who covered multiple areas of EV expertise: Jennifer Weiss, Senior Advisor for Climate Change Policy at the North Carolina Department of Transportation; Matt Abele, Director of Marketing and Communications at North Carolina Sustainable Energy Association; Sean Ackley, E-Mobility Segment Lead at Hitachi Americas, Ltd.; and Evian Patterson, Assistant Transportation Director in the Durham Department of Transportation.

The goal of Duke’s EnergyWeek is to “promote collaboration, knowledge-sharing, and professional networking” for students interested in the energy sector.  The situation room event was not strictly research oriented – our team rooms had windows and we were given free supper and lemonade – but it promoted the fundamentals of research: idea generation, collaboration, and outside-of-the-box thinking. 

The victors of the 2023 EnergyWeek Situation Room (photo: Michael Wood III)

The teams were tasked with crafting a strategy that combined technical, business, marketing, and policy considerations to increase EV penetration in Durham.  The teams operated under a hypothetical $10 million budget and strategies were to align with the Justice40 initiative, the federal plan to ensure that forty percent of the benefits of new clean transit jobs flow to “disadvantaged communities that are marginalized, underserved, and overburdened by pollution.”

Participants were encouraged to consider “potential barriers to EV adoption, the existing distribution of EV charging stations, and opportunities for community and business involvement” and to be creative.

My team was comprised of students from a range of scholarly backgrounds, from a freshman beginning a mechanical engineering track to a grad student at the Nicholas School with prior work and research in school bus electrification policy.  For our plan, we spent little time discussing electric cars and instead focused on expanding access to electric micro-mobility and electrified public transportation.  

Our team consulted this map from the Durham Bike+Walk Implementation plan in determining that electric cars are not a silver bullet
(map: durhamnc.gov)

We had many reasons for doing so.  Many Durham residents don’t own cars, so the likelihood of increasing the adoption of electric cars in a timely and affordable manner seems low.  Countries around the world are instead focusing on expanding e-bike access, citing, in addition to climate and affordability concerns, the desire to move away from the safety issues and traffic burden of car-centric urban design. 

We saw Durham, which is expected to double in population in just twenty-five years, as a city perfectly positioned to develop around micro-mobility and robust public transportation before it’s too late and set an example for growing urban centers across the country.  We used our $10 million to add bike lanes, fund electric buses, and subsidize electric bikes across income levels.

Our team placed second (no big deal!) and walked away with a full stomach and a rekindled spark to break the Duke bubble and get involved in the exciting development of the Bull City.

My winnings!
By Addie Geitner, Class of 2025

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

Cancer Stigma, Contraceptives, Covid-19: 2022 Global Health Research Showcase

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On October 21, 2022

In Cancer, Field Research, Global Health, Medicine, Policy, Science Communication & Education

Last Monday, Oct. 17, Duke University students who had conducted global health research had the opportunity to present their work. From North Carolina to Sub-Saharan Africa, the 2022 Global Health Research Showcase featured works that tackle some of the world’s most pressing health issues. Over 40 undergraduate, Masters, and PhD student projects examined a broad range of issues, determinants, and phenomena in countries from almost every continent. Here’s a few project highlights, in case you missed it:

Maeve Salm, pursuing her Master of Science in Global Health, went to Tanzania to study contraceptive use. Tanzania’s youth are highly impacted by teen pregnancy, and Salm wanted to understand desires for contraceptive use among adolescents affected by HIV. She learned that, much like in the U.S., stigma influences access to sexual healthcare for adolescents. This qualitative study aimed to support young people in achieving their desired health outcomes and reducing HIV transmission by examining barriers and facilitators to family planning. Findings indicate that youth agency in reproductive health is of utmost importance.

Maeve Salm presenting her poster at the 2022 Global Health Research Symposium.

Wondering about the Covid-19 response in other countries? Master of Science in Global Health Candidate Stephanie Stan explored the barriers and enablers to the pandemic response in Peru. Per capita, Peru experienced the highest mortality rate form the disease compared to any other country. Due to several challenging factors, they were slow to receive COVID-19 vaccines. However, they implemented highly successful vaccination campaigns once vaccines were obtained. What can be learned from Peru’s pandemic response? Prolonged and proactive collaborations between sectors (healthcare, academics, and government) enable swift public health responses in a crisis. It’s important to have elected officials who are empowered to make decisions promoting science.

“Definitely meeting all the incredible people that I interviewed and learning about their work and involvement in Peru’s pandemic response. Learning about what happens moving forward from their point of view.”

Stephanie Stan, when asked about her global health research experience

Winning the first-place Graduate Student Research Award, Judith Mwobobia’s project examined the stigma of cancer in sub-Saharan Africa. Stigma is a huge barrier to receiving treatment, which is a problem considering that 70% of global cancer deaths originate from Africa. Perceptions of financial stress, misconceptions about cancer, and fear of death were common attitudes driving cancer stigma. Proposed interventions included education and policy recommendations for low-resourced communities. Mwobobia is pursuing her Master of Science in Global Health. Clearly a supportive group, her classmates erupted in cheers when the award was announced.

By Victoria Wilson, Class of 2023

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