School of Medicine
Showing 21-39 of 39 Results
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Minh Nguyen
Ph.D. Student in Biomedical Informatics, admitted Autumn 2018
Ph.D. Minor, Management Science and EngineeringBio@DARE fellow (Diversifying Academia, Recruiting Excellence) https://vpge.stanford.edu/people/minh-nguyen
@Data Science Scholar
https://datascience.stanford.edu/people/minh-nguyen -
Sina Sadeghzadeh
MD Student with Scholarly Concentration in Clinical Research, expected graduation Spring 2026
Masters Student in Medicine, admitted Spring 2024BioSina was born in Tehran, Iran and raised in Zanjan, Iran. He came out to Massachusetts to attend Harvard University where he obtained his undergraduate degree cum laude in Neuroscience with a secondary in Economics. In college, Sina conducted wet-lab research under the supervision of Dr. Hugo Bellen, worked as a legal intern in Levy Firestone Muse LLP, and served as a research assistant for Drs. Francis Shen, Steven Levitsky, and Jennifer Hochschild. Sina moved to California (by bike!) to begin medical school at Stanford where he is currently pursuing clinical and basic science research opportunities in the neuroscience domain. Outside of medical school, Sina is an avid cyclist, enjoys going on walks, doing yoga, and learning to salsa dance.
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Thomas Robert Savage
Clinical Assistant Professor, Medicine
Masters Student in Biomedical Informatics, admitted Autumn 2022BioDr Thomas Savage is a Hospitalist at Stanford University Hospital. He teaches residents and medical students on the general medicine service as well as covers the oncology, cardiology and transplant services as a nocturnist. His research interests include artificial intelligence applications to medicine and wearable medical devices.
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Kevin Thomas
MD Student, expected graduation Spring 2024
Ph.D. Student in Biomedical Informatics, admitted Autumn 2017
MSTP StudentBioKevin Thomas is an MD/PhD dual degree candidate in the NIH-sponsored Medical Scientist Training Program (MSTP). He has a PhD in Biomedical Informatics. His research focuses on the development and application of machine learning methods for human mobility data including medical imaging, wearable sensor measurements, video, and kinematics collected from lab-based motion capture systems. He has developed open-source software and web applications used by researchers across the country to accelerate their study of mobility-related diseases.
Before attending Stanford School of Medicine, he was a Fulbright Scholar in Canada where he conducted research on the use of wearable sensors and machine learning for the assessment of sports performance in elite sprinters and basketball players in collaboration with Adidas. He has also worked with the Philadelphia Phillies Major League Baseball team, conducting player analyses and statistical modeling to support front-office decision making.