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Edgar Dobriban is an Associate Professor in the Department of Statistics and Data Science at the University of Pennsylvania with a secondary appointment in the Department of Computer Information Science. He specializes in statistical machine learning and high-dimensional statistics, conducting research that spans various topics including uncertainty quantification, AI safety, robustness, and problems at the intersection of statistics and machine learning. Dobriban has received several prestigious awards for his work, including the Peter Gavin Hall IMS Early Career Prize and the NSF CAREER award. His academic contributions include numerous papers published in top statistical journals and conferences such as AISTATS and NeurIPS. In addition to his teaching responsibilities, he is involved in the mentorship of PhD students and is active in organizing workshops and conferences in his field, aiming to foster collaborative research and educational development. Dobriban is passionate about advancing statistical methodologies and applications in AI, contributing to a better understanding of data science principles and practices.
University of Pennsylvania • Philadelphia, PA
Teaching and conducting research in the Department of Statistics and Data Science.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.