Stanford University
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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. -
Spencer Chang
Clinical Assistant Professor, Medicine - Primary Care and Population Health
BioDr. Spencer Chang is a board-certified Internal Medicine physician who practices at the Stanford Internal Medicine Clinic in Palo Alto. Dr. Chang earned his MD at Duke University School of Medicine where he was part of the Primary Care Leadership Track. He completed his Internal Medicine Residency training at UCLA in the Primary Care Program. Dr. Chang has interests in medical education, improving access to primary care, community health, and Asian Pacific Islander health disparities. He believes in a holistic approach to patient care, addressing the physical, mental, and emotional well-being of his patients and partnering with them to achieve their health goals.