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Jon Steingrimsson is an Associate Professor in the Department of Biostatistics at Brown University. He obtained his PhD in Statistics from Cornell University. Prior to joining Brown, he completed a postdoctoral fellowship in the Department of Biostatistics at Johns Hopkins University. His research interests focus on generalizing and transporting treatment effects and developing risk prediction models that extend beyond those used in original treatment effect estimation models. His work involves the development of machine learning algorithms for risk prediction in censored data and identifying treatment effect heterogeneity. Jon is also an active member of the ECOG-ACRIN cancer research group, contributing to advancements in the field of biostatistics and cancer research.
Department: Department of Economics