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.
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.
To Educators and Institutions: Allyship is active and uncomfortable. In the last 20 years, institutions have professed interest in diversifying their members and supporting marginalized groups. However, despite these proclamations, most have fallen short of truly allying themselves to communities in need of support. People often assume that allyship is defined by intent; that they are allies to Black people in the #BLM era because they, too, believe that Black lives have value. This is decency, not allyship. In the wake of the tragic killings of Breonna Taylor and George Floyd, and the ongoing racial inequity of the COVID-19 pandemic, every person of color that I know in academia has been invited to a townhall on racism. These meetings risk re-traumatizing Black people if they feel coerced into sharing their experiences with racism in front of their white colleagues. This is exploitation, not allyship. These discussions must be carefully designed to prioritize Black voices but not depend on them. They must rely on shared responsibility for strategizing systemic change that centers the needs of Black and marginalized voices while diffusing the requisite labor across the entire institution.
Allyship requires a commitment to actions, not ideas. In education this is fostering safe environments for BIPOC and LGBTQ+ students. It is changing the culture of your institution such that anti-racism is a shared value and that work to establish anti-racist practices is distributed across all groups rather than just an additional tax on minority students and faculty. It is providing dedicated spaces for BIPOC and LGBTQ+ students where they can build community amongst themselves away from the gaze of majority white, heterosexual, and cisgender groups that dominate other spaces. It is also building the infrastructure to educate all members of your institution on issues facing BIPOC and LGBTQ+ students rather than relying on members of those communities to educate others through divulging their personal experiences.
Among well-intentioned ally hopefuls, anxiety can be a major barrier to action. Anxiety around the possibility of making a mistake, saying the wrong thing, hurting or offending someone, and having uncomfortable conversations. I'm here to alleviate any uncertainty around that: You will likely make mistakes, you may receive backlash, you will undoubtedly have uncomfortable conversations, and you may have to apologize. Steel yourself to that possibility and view it as an asset. People give their most unfiltered feedback when they have been hurt, so take that as an opportunity to guide change within your organizations and your own practices. How you respond to criticism will determine your allyship status. People are more likely to forgive when a commitment to change is quickly and repeatedly demonstrated.
The first step to moving forward in an anti-racist framework is to compensate the students for their labor in making the institution more inclusive.
To BIPOC and LGBTQ+ Trainees: Your labor is worth compensation and recognition. It is difficult to see your institution failing to adequately support members of your community without feeling compelled to act. As a Black person in medicine I have served on nearly every committee related to diversity recruitment and admissions. As a queer person I have sat on many taskforces dedicated to improving trans education in medical curricula. I have spent countless hours improving the institutions at which I have been educated and will likely spend countless more. However, over the past few years, I have realized that those hours do not generally advance my academic and professional goals. My peers who do not share in my marginalized identities do not have the external pressure to sequester large parts of their time for institutional change. While I was drafting emails to administrators or preparing journal clubs to educate students on trans health, my peers were studying.
There were periods in my education where there were appreciable declines in my grades and research productivity because of the time I spent on institutional reform. Without care, this phenomenon can translate to a perceived achievement gap. It is not that BIPOC and LGBTQ+ achieve less; in fact, in many ways we achieve more. However, we expend much of our effort on activities that are not traditionally valued as accomplishments for career advancement. The only way to change this norm is to start demanding compensation for your labor and respectfully declining if it is not provided. Compensation can be monetary, but it can also be opportunities for professional identity formation. For uncompensated work that I feel particularly compelled to do, I strategize how it can benefit me before starting the project. Can I write it up for publication in a peer-reviewed scientific journal? Can I find an advisor to support the task force and write a letter of reference on my behalf? Can I use the project to apply for external research funding or scholarships? These are all ways of translating the work that matters to you into the currency that the medical establishment values as productivity.
To Educators and Institutions: Compensate marginalized members of your organizations for making it better. Racism is the oldest institution in America. It is built into the foundation of the country and rests in the very top office in our nation's capital. Analogues of racism, specifically gender-based discrimination, transphobia, and classism, have similarly seeped into the fabric of our country and education system. Given their ubiquity, how can we expect to combat these issues cheaply? Today, anti-racism work is in vogue in academia, and institutions have looked to their Black and otherwise marginalized students to provide ways that the institution can improve. We, as students, regularly respond with well-researched, scholarly, actionable lists of specific interventions that are the result of dozens (sometimes hundreds) of hours of unpaid labor. Then, administrators dissect these interventions and scale them back citing budgetary concerns or hiring limitations.
It gives the impression that they view racism as an easy issue to fix, that can be slotted in under an existing line item, rather than the severe problem requiring radical reform that it actually is. The first step to moving forward in an anti-racist framework is to compensate the students for their labor in making the institution more inclusive. Inclusion and equity improve the educational environment for all students, so in the same way one would pay a consultant for an audit that identifies weaknesses in your institution, you should pay your students who are investing countless hours in strategic planning. While financial compensation is usually preferable, institutions can endow specific equity-related student awards, fellowships, and research programs that allow the work that students are already doing to help further their careers. Next, it is important to invest. Add anti-racism and equity interventions as specific items in departmental and institutional budgets so that there is annual reserved capital dedicated to these improvements, part of which can include the aforementioned student compensation.
To BIPOC and LGBTQ+ Trainees: Seek and be mentors. Early in my training, I often lamented the lack of mentors who shared important identities with myself. I initially sought a Black, queer mentor in medicine who could open doors and guide me from undergrad pre-med to university professor. Unfortunately, given the composition of the U.S. academy, this was not a realistic goal. While our white, cisgender, heterosexual colleagues can identify mentors they reflect, we have to operate on a different mentorship model. In my experience, it is more effective to assemble a mentorship network: a group of allies who facilitate your professional and personal development across one or more arenas. For me, as a physician-scholar-advocate, I need professional mentors who support my specific research interests, help me develop as a policy innovator and advocate, and who can guide my overall career trajectory on the short- and long- term time scales.
Rather than expecting one mentor to fulfill all those roles, as well as be Black and queer, I instead seek a set of mentors that can share in these roles, all of whom are informed or educable on the unique needs of Black and queer trainees. When assembling your own mentorship network, remember personal mentors who can help you develop self-care strategies and achieve work-life balance. Also, there is much value in peer mentorship. Some of my best mentors are my contemporaries. Your experiences have allowed you to accumulate knowledge—share that knowledge with each other.
To Educators and Institutions: Hire better mentors. Be better mentors. Poor mentorship is a challenge throughout academia that is amplified for BIPOC and LGBTQ+ trainees. Part of this challenge is due to priorities established in the hiring process. Institutions need to update hiring practices to explicitly evaluate faculty and staff candidates for their ability to be good mentors, particularly to students from marginalized communities. This can be achieved by including diverse groups of students on hiring committees and allowing them to interview candidates and assess how the candidate will support student needs. Also, continually evaluate current faculty and staff based on standardized feedback from students that will allow you to identify and intervene on deficits and continually improve the quality of mentorship at your institution.
The suggestions I provided are about navigating medical education, as it exists now. I hope that incorporating these practices will allow institutions to better serve the BIPOC and LGBTQ+ trainees that help make their communities vibrant. I also hope that my fellow BIPOC and LGBTQ+ trainees can see themselves in this conversation and feel affirmed and equipped in navigating medicine based on the tools I provide here. However, my words are only a tempering measure. True justice in medical education and health will only happen when we overhaul our institutions and dismantle systems of oppression in our society.
[Editor's Note: To read other articles in this special magazine issue, visit the beautifully designed e-reader version.]
Often called the window to the soul, the eyes are more sacred than other body parts, at least for some.
Awash in a fluid finely calibrated to keep it alive, a human eye rests inside a transparent cubic device. This ECaBox, or Eyes in a Care Box, is a one-of-a-kind system built by scientists at Barcelona’s Centre for Genomic Regulation (CRG). Their goal is to preserve human eyes for transplantation and related research.
In recent years, scientists have learned to transplant delicate organs such as the liver, lungs or pancreas, but eyes are another story. Even when preserved at the average transplant temperature of 4 Centigrade, they last for 48 hours max. That's one explanation for why transplanting the whole eye isn’t possible—only the cornea, the dome-shaped, outer layer of the eye, can withstand the procedure. The retina, the layer at the back of the eyeball that turns light into electrical signals, which the brain converts into images, is extremely difficult to transplant because it's packed with nerve tissue and blood vessels.
These challenges also make it tough to research transplantation. “This greatly limits their use for experiments, particularly when it comes to the effectiveness of new drugs and treatments,” said Maria Pia Cosma, a biologist at Barcelona’s Centre for Genomic Regulation (CRG), whose team is working on the ECaBox.
Eye transplants are desperately needed, but they're nowhere in sight. About 12.7 million people worldwide need a corneal transplant, which means that only one in 70 people who require them, get them. The gaps are international. Eye banks in the United Kingdom are around 20 percent below the level needed to supply hospitals, while Indian eye banks, which need at least 250,000 corneas per year, collect only around 45 to 50 thousand donor corneas (and of those 60 to 70 percent are successfully transplanted).
As for retinas, it's impossible currently to put one into the eye of another person. Artificial devices can be implanted to restore the sight of patients suffering from severe retinal diseases, but the number of people around the world with such “bionic eyes” is less than 600, while in America alone 11 million people have some type of retinal disease leading to severe vision loss. Add to this an increasingly aging population, commonly facing various vision impairments, and you have a recipe for heavy burdens on individuals, the economy and society. In the U.S. alone, the total annual economic impact of vision problems was $51.4 billion in 2017.
Even if you try growing tissues in the petri dish route into organoids mimicking the function of the human eye, you will not get the physiological complexity of the structure and metabolism of the real thing, according to Cosma. She is a member of a scientific consortium that includes researchers from major institutions from Spain, the U.K., Portugal, Italy and Israel. The consortium has received about $3.8 million from the European Union to pursue innovative eye research. Her team’s goal is to give hope to at least 2.2 billion people across the world afflicted with a vision impairment and 33 million who go through life with avoidable blindness.
Their method? Resuscitating cadaveric eyes for at least a month.
If we succeed, it will be the first intact human model of the eye capable of exploring and analyzing regenerative processes ex vivo. -- Maria Pia Cosma.
“We proposed to resuscitate eyes, that is to restore the global physiology and function of human explanted tissues,” Cosma said, referring to living tissues extracted from the eye and placed in a medium for culture. Their ECaBox is an ex vivo biological system, in which eyes taken from dead donors are placed in an artificial environment, designed to preserve the eye’s temperature and pH levels, deter blood clots, and remove the metabolic waste and toxins that would otherwise spell their demise.
Scientists work on resuscitating eyes in the lab of Maria Pia Cosma.
Courtesy of Maria Pia Cosma.
“One of the great challenges is the passage of the blood in the capillary branches of the eye, what we call long-term perfusion,” Cosma said. Capillaries are an intricate network of very thin blood vessels that transport blood, nutrients and oxygen to cells in the body’s organs and systems. To maintain the garland-shaped structure of this network, sufficient amounts of oxygen and nutrients must be provided through the eye circulation and microcirculation. “Our ambition is to combine perfusion of the vessels with artificial blood," along with using a synthetic form of vitreous, or the gel-like fluid that lets in light and supports the the eye's round shape, Cosma said.
The scientists use this novel setup with the eye submersed in its medium to keep the organ viable, so they can test retinal function. “If we succeed, we will ensure full functionality of a human organ ex vivo. It will be the first intact human model of the eye capable of exploring and analyzing regenerative processes ex vivo,” Cosma added.
A rapidly developing field of regenerative medicine aims to stimulate the body's natural healing processes and restore or replace damaged tissues and organs. But for people with retinal diseases, regenerative medicine progress has been painfully slow. “Experiments on rodents show progress, but the risks for humans are unacceptable,” Cosma said.
The ECaBox could boost progress with regenerative medicine for people with retinal diseases, which has been painfully slow because human experiments involving their eyes are too risky. “We will test emerging treatments while reducing animal research, and greatly accelerate the discovery and preclinical research phase of new possible treatments for vision loss at significantly reduced costs,” Cosma explained. Much less time and money would be wasted during the drug discovery process. Their work may even make it possible to transplant the entire eyeball for those who need it.
“It is a very exciting project,” said Sanjay Sharma, a professor of ophthalmology and epidemiology at Queen's University, in Kingston, Canada. “The ability to explore and monitor regenerative interventions will increasingly be of importance as we develop therapies that can regenerate ocular tissues, including the retina.”
Seemingly, there's no sacred religious text or a holy book prohibiting the practice of eye donation.
But is the world ready for eye transplants? “People are a bit weird or very emotional about donating their eyes as compared to other organs,” Cosma said. And much can be said about the problem of eye donor shortage. Concerns include disfigurement and healthcare professionals’ fear that the conversation about eye donation will upset the departed person’s relatives because of cultural or religious considerations. As just one example, Sharma noted the paucity of eye donations in his home country, Canada.
Yet, experts like Sharma stress the importance of these donations for both the recipients and their family members. “It allows them some psychological benefit in a very difficult time,” he said. So why are global eye banks suffering? Is it because the eyes are the windows to the soul?
Seemingly, there's no sacred religious text or a holy book prohibiting the practice of eye donation. In fact, most major religions of the world permit and support organ transplantation and donation, and by extension eye donation, because they unequivocally see it as an “act of neighborly love and charity.” In Hinduism, the concept of eye donation aligns with the Hindu principle of daan or selfless giving, where individuals donate their organs or body after death to benefit others and contribute to society. In Islam, eye donation is a form of sadaqah jariyah, a perpetual charity, as it can continue to benefit others even after the donor's death.
Meanwhile, Buddhist masters teach that donating an organ gives another person the chance to live longer and practice dharma, the universal law and order, more meaningfully; they also dismiss misunderstandings of the type “if you donate an eye, you’ll be born without an eye in the next birth.” And Christian teachings emphasize the values of love, compassion, and selflessness, all compatible with organ donation, eye donation notwithstanding; besides, those that will have a house in heaven, will get a whole new body without imperfections and limitations.
The explanation for people’s resistance may lie in what Deepak Sarma, a professor of Indian religions and philosophy at Case Western Reserve University in Cleveland, calls “street interpretation” of religious or spiritual dogmas. Consider the mechanism of karma, which is about the causal relation between previous and current actions. “Maybe some Hindus believe there is karma in the eyes and, if the eye gets transplanted into another person, they will have to have that karmic card from now on,” Sarma said. “Even if there is peculiar karma due to an untimely death–which might be interpreted by some as bad karma–then you have the karma of the recipient, which is tremendously good karma, because they have access to these body parts, a tremendous gift,” Sarma said. The overall accumulation is that of good karma: “It’s a beautiful kind of balance,” Sarma said.
For the Jews, Christians, and Muslims who believe in the physical resurrection of the body that will be made new in an afterlife, the already existing body is sacred since it will be the basis of a new refashioned body in an afterlife.---Omar Sultan Haque.
With that said, Sarma believes it is a fallacy to personify or anthropomorphize the eye, which doesn’t have a soul, and stresses that the karma attaches itself to the soul and not the body parts. But for scholars like Omar Sultan Haque—a psychiatrist and social scientist at Harvard Medical School, investigating questions across global health, anthropology, social psychology, and bioethics—the hierarchy of sacredness of body parts is entrenched in human psychology. You cannot equate the pinky toe with the face, he explained.
“The eyes are the window to the soul,” Haque said. “People have a hierarchy of body parts that are considered more sacred or essential to the self or soul, such as the eyes, face, and brain.” In his view, the techno-utopian transhumanist communities (especially those in Silicon Valley) have reduced the totality of a person to a mere material object, a “wet robot” that knows no sacredness or hierarchy of human body parts. “But for the Jews, Christians, and Muslims who believe in the physical resurrection of the body that will be made new in an afterlife, the [already existing] body is sacred since it will be the basis of a new refashioned body in an afterlife,” Haque said. “You cannot treat the body like any old material artifact, or old chair or ragged cloth, just because materialistic, secular ideologies want so,” he continued.
For Cosma and her peers, however, the very definition of what is alive or not is a bit semantic. “As soon as we die, the electrophysiological activity in the eye stops,” she said. “The goal of the project is to restore this activity as soon as possible before the highly complex tissue of the eye starts degrading.” Cosma’s group doesn’t yet know when they will be able to keep the eyes alive and well in the ECaBox, but the consensus is that the sooner the better. Hopefully, the taboos and fears around the eye donations will dissipate around the same time.
As Our AI Systems Get Better, So Must We
In order to build the future we want, we must also become ever better humans, explains the futurist Jamie Metzl in this opinion essay.
As the power and capability of our AI systems increase by the day, the essential question we now face is what constitutes peak human. If we stay where we are while the AI systems we are unleashing continually get better, they will meet and then exceed our capabilities in an ever-growing number of domains. But while some technology visionaries like Elon Musk call for us to slow down the development of AI systems to buy time, this approach alone will simply not work in our hyper-competitive world, particularly when the potential benefits of AI are so great and our frameworks for global governance are so weak. In order to build the future we want, we must also become ever better humans.
The list of activities we once saw as uniquely human where AIs have now surpassed us is long and growing. First, AI systems could beat our best chess players, then our best Go players, then our best champions of multi-player poker. They can see patterns far better than we can, generate medical and other hypotheses most human specialists miss, predict and map out new cellular structures, and even generate beautiful, and, yes, creative, art.
A recent paper by Microsoft researchers analyzing the significant leap in capabilities in OpenAI’s latest AI bot, ChatGPT-4, asserted that the algorithm can “solve novel and difficult tasks that span mathematics, coding, vision, medicine, law, psychology and more, without needing any special prompting.” Calling this functionality “strikingly close to human-level performance,” the authors conclude it “could reasonably be viewed as an early (yet still incomplete) version of an artificial general intelligence (AGI) system.”
The concept of AGI has been around for decades. In its common use, the term suggests a time when individual machines can do many different things at a human level, not just one thing like playing Go or analyzing radiological images. Debating when AGI might arrive, a favorite pastime of computer scientists for years, now has become outdated.
We already have AI algorithms and chatbots that can do lots of different things. Based on the generalist definition, in other words, AGI is essentially already here.
Unfettered by the evolved capacity and storage constraints of our brains, AI algorithms can access nearly all of the digitized cultural inheritance of humanity since the dawn of recorded history and have increasing access to growing pools of digitized biological data from across the spectrum of life.
Once we recognize that both AI systems and humans have unique superpowers, the essential question becomes what each of us can do better than the other and what humans and AIs can best do in active collaboration. The future of our species will depend upon our ability to safely, dynamically, and continually figure that out.
With these ever-larger datasets, rapidly increasing computing and memory power, and new and better algorithms, our AI systems will keep getting better faster than most of us can today imagine. These capabilities have the potential to help us radically improve our healthcare, agriculture, and manufacturing, make our economies more productive and our development more sustainable, and do many important things better.
Soon, they will learn how to write their own code. Like human children, in other words, AI systems will grow up. But even that doesn’t mean our human goose is cooked.
Just like dolphins and dogs, these alternate forms of intelligence will be uniquely theirs, not a lesser or greater version of ours. There are lots of things AI systems can't do and will never be able to do because our AI algorithms, for better and for worse, will never be human. Our embodied human intelligence is its own thing.
Our human intelligence is uniquely ours based on the capacities we have developed in our 3.8-billion-year journey from single cell organisms to us. Our brains and bodies represent continuous adaptations on earlier models, which is why our skeletal systems look like those of lizards and our brains like most other mammals with some extra cerebral cortex mixed in. Human intelligence isn’t just some type of disembodied function but the inextricable manifestation of our evolved physical reality. It includes our sensory analytical skills and all of our animal instincts, intuitions, drives, and perceptions. Disembodied machine intelligence is something different than what we have evolved and possess.
Because of this, some linguists including Noam Chomsky have recently argued that AI systems will never be intelligent as long as they are just manipulating symbols and mathematical tokens without any inherent understanding. Nothing could be further from the truth. Anyone interacting with even first-generation AI chatbots quickly realizes that while these systems are far from perfect or omniscient and can sometimes be stupendously oblivious, they are surprisingly smart and versatile and will get more so… forever. We have little idea even how our own minds work, so judging AI systems based on their output is relatively close to how we evaluate ourselves.
Anyone not awed by the potential of these AI systems is missing the point. AI’s newfound capacities demand that we work urgently to establish norms, standards, and regulations at all levels from local to global to manage the very real risks. Pausing our development of AI systems now doesn’t make sense, however, even if it were possible, because we have no sufficient ways of uniformly enacting such a pause, no plan for how we would use the time, and no common framework for addressing global collective challenges like this.
But if all we feel is a passive awe for these new capabilities, we will also be missing the point.
Human evolution, biology, and cultural history are not just some kind of accidental legacy, disability, or parlor trick, but our inherent superpower. Our ancestors outcompeted rivals for billions of years to make us so well suited to the world we inhabit and helped build. Our social organization at scale has made it possible for us to forge civilizations of immense complexity, engineer biology and novel intelligence, and extend our reach to the stars. Our messy, embodied, intuitive, social human intelligence is roughly mimicable by AI systems but, by definition, never fully replicable by them.
Once we recognize that both AI systems and humans have unique superpowers, the essential question becomes what each of us can do better than the other and what humans and AIs can best do in active collaboration. We still don't know. The future of our species will depend upon our ability to safely, dynamically, and continually figure that out.
As we do, we'll learn that many of our ideas and actions are made up of parts, some of which will prove essentially human and some of which can be better achieved by AI systems. Those in every walk of work and life who most successfully identify the optimal contributions of humans, AIs, and the two together, and who build systems and workflows empowering humans to do human things, machines to do machine things, and humans and machines to work together in ways maximizing the respective strengths of each, will be the champions of the 21st century across all fields.
The dawn of the age of machine intelligence is upon us. It’s a quantum leap equivalent to the domestication of plants and animals, industrialization, electrification, and computing. Each of these revolutions forced us to rethink what it means to be human, how we live, and how we organize ourselves. The AI revolution will happen more suddenly than these earlier transformations but will follow the same general trajectory. Now is the time to aggressively prepare for what is fast heading our way, including by active public engagement, governance, and regulation.
AI systems will not replace us, but, like these earlier technology-driven revolutions, they will force us to become different humans as we co-evolve with our technology. We will never reach peak human in our ongoing evolutionary journey, but we’ve got to manage this transition wisely to build the type of future we’d like to inhabit.
Alongside our ascending AIs, we humans still have a lot of climbing to do.