School of Medicine
Showing 1,621-1,630 of 13,183 Results
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Sierra Mei Lin Centkowski, MD
Clinical Assistant Professor, Dermatology
BioDr. Sierra Mei Lin Centkowski is a board-certified Clinical Assistant Professor of Dermatology at Stanford University. She received both her medical degree and Master’s in Bioethics from the Perelman School of Medicine at the University of Pennsylvania and completed her dermatology residency at Stanford. Her clinical interests include general dermatology, including skin cancer, acne, psoriasis, atopic dermatitis and dermatologic surgery. She believes that patient empowerment and partnership provide the foundation for effective, compassionate and holistic care.
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Alma-Martina Cepika
Assistant Professor of Surgery (General Surgery)
Current Research and Scholarly InterestsCepika Lab studies human immune tolerance. Using cellular immunology, genomics, and gene engineering, we aim to understand: 1) the role of human thymic regulatory T cells (Tregs) and inducible type 1 regulatory T (Tr1) cells in resistance to anti-tumor immunity and cancer immunotherapy, and 2) the interplay between innate and adaptive immunity in the pathogenesis of human inflammatory bowel disease (IBD). Our overarching goal is to leverage our discoveries for improving patient outcomes.
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TAMER ÇETIN
Affiliate, Medicine - Primary Care and Population Health
BioTamer Çetin is a Research Professor at Stanford whose work focuses on applied econometrics, causal inference, and machine learning. His research develops robust methods for statistically reliable empirical analysis in high-dimensional and complex-data settings, with contributions spanning weak identification, instrumental variables, regression discontinuity, debiased machine learning, and causal estimation.
At Stanford, he connects modern statistical learning methods with classical questions in identification, inference, and policy evaluation. His research seeks to improve the credibility of empirical conclusions when researchers face complex data, competing identification strategies, imperfect instruments, or model uncertainty.
Before joining Stanford, Dr. Çetin held research and teaching positions across academia, consulting, and industry. He has taught courses in economics, econometrics, and data science. His broader research interests include causal inference, health economics, and the use of machine learning in empirical research.
