Summary
Shai Carmi is an associate professor and principal investigator at the Hebrew University School of Public Health who leads a statistical and computational genetics lab decoding medical, biological, and historical signals from genetic variation. With a physics and computer science foundation and postdoctoral training in statistical genetics at Columbia, he develops statistical methods and theory applied to Israeli populations, healthcare, and ancient DNA. His work spans medical genetics (preimplantation testing, trait architecture, risk prediction) and population genetics (genealogy, founder events, demographic inference), combining rigorous theory with practical applications. Active since 2015 as a lab leader, he bridges quantitative modeling and translational genetics, often leveraging unique population structure in Israel to extract insights not visible in broader cohorts.
10 years of coding experience
Post-doc, Statistical Genetics, Post-doc, Statistical Genetics at Columbia University in the City of New York
Post-doc, Computational Biology, Post-doc, Computational Biology at Bar-Ilan University