School of Medicine
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Jonas Cerneckis
Postdoctoral Scholar, Cardiovascular Institute
BioI am a postdoctoral scholar at the Stanford Cardiovascular Institute working at the intersection of cardiovascular biology, neuroscience, and regenerative medicine. My research focuses on developing and applying new approach methodologies (NAMs), including human induced pluripotent stem cell-derived models, organoids, and computational approaches, to investigate disease mechanisms and identify opportunities for therapeutic development. I completed my PhD at the Irell & Manella Graduate School of Biological Sciences at City of Hope, where I studied Alzheimer’s disease using human stem cell-based models and machine learning.
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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.