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Shivani Agarwal is the 2015-16 William and Flora Hewlett Foundation Fellow at the Radcliffe Institute for Advanced Study at Harvard University, where she is on leave from her position as Assistant Professor and Ramanujan Fellow at the Indian Institute of Science. She leads the Machine Learning and Learning Theory Group at the Indian Institute of Science and co-directs the Indo-US Joint Center for Advanced Research in Machine Learning, Game Theory and Optimization, and is an Associate of the Indian Academy of Sciences and of the International Center for Theoretical Sciences. Prior to the Indian Institute of Science, she taught at MIT as a postdoctoral lecturer. She received her PhD in computer science at the University of Illinois, Urbana-Champaign, and her bachelors degrees in mathematics and computer science at St. Stephen's College, University of Delhi and 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.
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论文共 76 篇作者统计合作学者相似作者
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Shivani Agarwal,Justin Mathew,Georgia M Davis, Alethea Shephardson, Ann Levine, Rita Louard,Agustina Urrutia,Citlalli Perez-Guzman,Guillermo E Umpierrez,Limin Peng,Francisco J Pasquel
APPLICATIONS OF ARTIFICIAL INTELLIGENCE TECHNIQUES IN ENGINEERING, SIGMA 2018, VOL 1 (2019): 533-541
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