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Rese survival analysis; risk prediction models; empirical processes; machine learning; semiparametric models
Postdoctorate, University of North Carolina at Chapel Hill
PhD Statistics, Hebrew University of Jerusalem
Rese survival analysis; risk prediction models; empirical processes; machine learning; semiparametric models
Yair Goldberg is an Associate Professor of Statistics in the Technion Faculty of Data and Decision Sciences. His research utilizes statistical and machine learning tools to address theoretical questions and real-world problems. Recent publications have focused on assessing both the protection against COVID-19 provided by the Pfizer vaccine and its waning immunity. In recent years, he has been part of a research team advising Israel’s Ministry of Health on COVID-19 policymaking. Goldberg earned his PhD from the Hebrew University of Jerusalem. He conducted postdoctoral research at the Department of Biostatistics at the University of North Carolina at Chapel Hill, and was a faculty member at the University of Haifa, before joining the Technion in 2018.
