Rachleff Family Associate Professor
Department of Computer and Information Science
University of Pennsylvania
Co-Director, Penn Research in Machine Learning (PRiML.upenn)
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Shivani Agarwal is Rachleff Family Associate Professor of Computer and Information Science at the University of Pennsylvania. Prior to this, she was the 2015-16 William and Flora Hewlett Foundation Fellow at the Radcliffe Institute for Advanced Study at Harvard University. She has previously been Assistant Professor and Ramanujan Fellow at the Indian Institute of Science, where she led the Machine Learning and Learning Theory Group and co-directed the Indo-US Joint Center for Advanced Research in Machine Learning, Game Theory and Optimization. She is an Associate Editor of the Journal of Artificial Intelligence Research, has been an Associate of the Indian Academy of Sciences and of the International Center for Theoretical Sciences, and was a recipient of a Yahoo! Faculty Award. She has previously taught at MIT as a postdoctoral lecturer. She received her PhD in computer science at the University of Illinois, Urbana-Champaign, and a bachelors degree in computer science as a Nehru Scholar at Trinity College, University of Cambridge. Her research interests include foundational questions in machine learning, applications of machine learning in the life sciences, and connections between machine learning and other disciplines such as economics, operations research, and psychology.