School of Medicine
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Jackson Powell
MD Student, expected graduation Spring 2029
MSTP StudentCurrent Research and Scholarly InterestsI am broadly interested in brain-computer interfaces. This includes reading neural activity through clinical means like intracranial EEG, or lab methods like Neuropixels. Similarly, I am interested in neuromodulation, such as deep brain stimulation for neurosurgical patients, or optogenetics for discovery.
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Johnny G. Powell
MD Student with Scholarly Concentration in Community Health, expected graduation Spring 2028
BioJohnny Powell, from Greensboro, North Carolina, is pursuing an MD at Stanford School of Medicine as a Knight-Hennessy Scholar. He graduated cum laude from Harvard University with a bachelor’s degree in chemistry and a minor in psychology. Johnny aspires to lead medical practice in underserved communities and drive structural change to make health care more accessible at scale. While at Harvard, he led youth mentorship programming in Boston and Japan, conducted research in the natural and social sciences, and shadowed hospital physicians in Spain. As president of the Harvard Black Men’s Forum, Johnny implemented lasting infrastructure to promote public service and inclusion. After graduating, he worked as an associate consultant at Bain & Company on health care and social impact projects. Passionate about health equity, Johnny also served as research coordinator for the All of Us Research Program, a national National Institutes of Health initiative to increase diversity in health care research, at the University of Chicago.
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Ananya Pradhan
Affiliate, Radiation Oncology - Radiation Biology
BioMy research sits at the intersection of deep learning, computational analysis, and understanding high-dimensional biological data to create a positive impact for patients. I am deeply fascinated by computer science and have experience working with generative networks and deep neural networks.
Currently, I am working with Dr. Seraphina Shi in the Esfahani Lab. My research focuses on analyzing epigenetic features of cfDNA fragments to develop deep learning architectures for early lung cancer detection. My prior independent research involved using variational auto-encoders and optical coherence tomography data to detect Alzheimer's disease at an early stage.
Outside of research, I enjoy student leadership and debate, and I’m always happy to have great conversations. I also love movies and spending time in nature. If any of these topics interest you, feel free to reach out!
