School of Medicine
Showing 421-440 of 1,308 Results
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Yasir Sepah
Assistant Professor (Research) of Ophthalmology
Current Research and Scholarly InterestsYasir's primary focus is on early identification of ocular diseases and objective assessment of response to therapy via biomarker (imaging and molecular) discovery and endpoints development for clinical trials. His lab is also developing and implementing protocols and methods to make decentralized clinical trials in ophthalmology viable.
Yasir is also engaged in developing low-tech, low cost and less intelligent solutions in order to improve patient's access to care. -
Jennifer Andrene Sequoia
Instructor, Pediatrics - Neonatology
BioJennifer Sequoia, MD, PhD is an Instructor in Neonatology at Stanford University. She completed her Neonatology Fellowship and Pediatrics Residency (Research Track) at Stanford. Prior to coming to Stanford she received her undergraduate and master's degrees from University of California, San Diego and her MD and PhD degrees from The University of Chicago. As faculty at Stanford, she is developing a research program to understand how endogenous cannabinoids impact preeclampsia and other perinatal diseases. She is broadly interested in how lipids mediate inflammatory programs and is working to develop new molecular tools to study lipids in their native environments.
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Athena Serapio
Senior Events Manager, Chief of Staff
Current Role at StanfordSenior Event Manager, Stanford Cancer Institute
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Stylianos Serghiou
Assistant Professor of Epidemiology and Population Health and of Medicine (Computational Medicine)
Current Research and Scholarly InterestsI am primarily working in evaluating scientific research, promoting rigorous scientific practice and advancing evidence-based medicine by using methods from computer science, statistics, econometrics and epidemiology. Ongoing projects include understanding allocation of social attention across fields of science, evaluating the predictive ability of prenatal screening for post-natal outcomes and building a deep learning system to predict the probability of heart disease.
