Generate a tailored SOP for Dr. David Hirshberg. Improve your application with a focused, well-structured draft.
David Hirshberg is an Associated Assistant Professor specializing in the fields of statistics and economics. He obtained his Ph.D. in Statistics from Columbia University in 2018, following a double major in Mathematics and Computer Science at Brown University, where he earned his B.S. in 2008. His research interests primarily focus on causal inference, semiparametric statistics, and high-dimensional statistics. In particular, he is dedicated to developing innovative methods to evaluate policy changes and health interventions, contributing to the fields of health economics and statistical methodology. David's work integrates theoretical and applied aspects of statistics, aiming to address complex challenges in understanding the efficacy of health policies through data-driven approaches.
Part of the Graduate Division of Biological and Biomedical Sciences (GDBBS). GRE is not required.