I’m a Black, Genderqueer Medical Student: Here’s My Hard-Won Wisdom for Students and Educational Institutions

I’m a Black, Genderqueer Medical Student: Here’s My Hard-Won Wisdom for Students and Educational Institutions

Advice follows for how to improve higher education for marginalized communities.

Photo by Vasily Koloda on Unsplash

This article is part of the magazine, "The Future of Science In America: The Election Issue," co-published by LeapsMag, the Aspen Institute Science & Society Program, and GOOD.

In the last 12 years, I have earned degrees from Harvard College and Duke University and trained in an M.D.-Ph.D. program at the University of Pennsylvania. Through this process, I have assembled much educational privilege and can now speak with the authority that is conferred in these ivory towers. Along the way, as a Black, genderqueer, first-generation, low-income trainee, the systems of oppression that permeate American society—racism, transphobia, and classism, among others—coalesced in the microcosm of academia into a unique set of challenges that I had to navigate. I would like to share some of the lessons I have learned over the years in the format of advice for both Black, Indigenous, and other People of Color (BIPOC) and LGBTQ+ trainees as well as members of the education institutions that seek to serve them.

To BIPOC and LGBTQ+ Trainees: Who you are is an asset, not an obstacle. Throughout my undergraduate years, I viewed my background as something to overcome. I had to overcome the instances of implicit bias and overt discrimination I experienced in my classes and among my peers. I had to overcome the preconceived, racialized, limitations on my abilities that academic advisors projected onto me as they characterized my course load as too ambitious or declared me unfit for medical school. I had to overcome the lack of social capital that comes with being from a low-resourced rural community and learn all the idiosyncrasies of academia from how to write professional emails to how and when to solicit feedback. I viewed my Blackness, queerness, and transness as inconveniences of identity that made my life harder.

It was only as I went on to graduate and medical school that I saw how much strength comes from who I am. My perspective allows me to conduct insightful, high-impact, and creative research that speaks to uplifting my various intersecting communities. My work on health equity for transgender people of color (TPOC) and BIPOC trainees in medicine is my form of advocacy. My publications are love letters to my communities, telling them that I see them and that I am with them. They are also indictments of the systems that oppress them and evidence that supports policy innovations and help move our society toward a more equitable future.

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Elle Lett
Elle Lett is an M.D.-Ph.D. Candidate in Epidemiology at the University of Pennsylvania. Their work focuses on intersectionality, specifically engaging transgender/gender minority and racial/ethnic minority communities. They hold a bachelor’s degree in Molecular and Cellular Biology from Harvard College and a master’s degree in Biostatistics from Duke University. They plan to pursue residency training in Emergency Medicine and use health services research and social epidemiology to motivate policy changes that help achieve health equity for marginalized populations in the United States. Twitter: @madblqscientist
Massive benefits of AI come with environmental and human costs. Can AI itself be part of the solution?

Generative AI has a large carbon footprint and other drawbacks. But AI can help mitigate its own harms—by plowing through mountains of data on extreme weather and human displacement.

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The recent explosion of generative artificial intelligence tools like ChatGPT and Dall-E enabled anyone with internet access to harness AI’s power for enhanced productivity, creativity, and problem-solving. With their ever-improving capabilities and expanding user base, these tools proved useful across disciplines, from the creative to the scientific.

But beneath the technological wonders of human-like conversation and creative expression lies a dirty secret—an alarming environmental and human cost. AI has an immense carbon footprint. Systems like ChatGPT take months to train in high-powered data centers, which demand huge amounts of electricity, much of which is still generated with fossil fuels, as well as water for cooling. “One of the reasons why Open AI needs investments [to the tune of] $10 billion from Microsoft is because they need to pay for all of that computation,” says Kentaro Toyama, a computer scientist at the University of Michigan. There’s also an ecological toll from mining rare minerals required for hardware and infrastructure. This environmental exploitation pollutes land, triggers natural disasters and causes large-scale human displacement. Finally, for data labeling needed to train and correct AI algorithms, the Big Data industry employs cheap and exploitative labor, often from the Global South.

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Payal Dhar
Payal is a writer based in New Delhi who has been covering science, technology, and society since 1998.
DNA gathered from animal poop helps protect wildlife

Alida de Flamingh and her team are collecting elephant dung. It holds a trove of information about animal health, diet and genetic diversity.

Courtesy Alida de Flamingh

On the savannah near the Botswana-Zimbabwe border, elephants grazed contentedly. Nearby, postdoctoral researcher Alida de Flamingh watched and waited. As the herd moved away, she went into action, collecting samples of elephant dung that she and other wildlife conservationists would study in the months to come. She pulled on gloves, took a swab, and ran it all over the still-warm, round blob of elephant poop.

Sequencing DNA from fecal matter is a safe, non-invasive way to track and ultimately help protect over 42,000 species currently threatened by extinction. Scientists are using this DNA to gain insights into wildlife health, genetic diversity and even the broader environment. Applied to elephants, chimpanzees, toucans and other species, it helps scientists determine the genetic diversity of groups and linkages with other groups. Such analysis can show changes in rates of inbreeding. Populations with greater genetic diversity adapt better to changes and environmental stressors than those with less diversity, thus reducing their risks of extinction, explains de Flamingh, a postdoctoral researcher at the University of Illinois Urbana-Champaign.

Analyzing fecal DNA also reveals information about an animal’s diet and health, and even nearby flora that is eaten. That information gives scientists broader insights into the ecosystem, and the findings are informing conservation initiatives. Examples include restoring or maintaining genetic connections among groups, ensuring access to certain foraging areas or increasing diversity in captive breeding programs.

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Gail Dutton
Gail Dutton has covered the biopharmaceutical industry as a journalist for the past three decades. She focuses on the intersection of business and science, and has written extensively for GEN – Genetic Engineering & Biotechnology News, Life Science Leader, The Scientist and BioSpace. Her articles also have appeared in Popular Science, Forbes, Entrepreneur and other publications.