Shivani Agarwal

Rachleff Family Associate Professor
Department of Computer and Information Science
University of Pennsylvania

Director, Penn Institute for Foundations of Data Science
Co-Director, Penn Research in Machine Learning (PRiML.upenn)
Member, Applied Mathematics and Computational Science
Faculty Affiliate, Warren Center for Network & Data Sciences

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Research

My research interests are in machine learning and data science. My specific interests include:
  • Computational and statistical foundations of machine learning and data science;
  • Applications of machine learning, particularly in the life sciences;
  • Connections between machine learning and other disciplines such as economics, operations research, and psychology.
More broadly, I am excited by research at the intersection of computer science, mathematics, and statistics, and its ability to turn data into actionable insights in both the natural and social sciences.

Publications

Prospective PhD Students: If you are interested in doing a PhD with me, apply to the UPenn CIS PhD program, indicate Machine Learning as your first preference for research area, and list me as a potential research advisor. Alternatively, if it is a better fit for you, you can also apply to the AMCS PhD program.


Current PhD Students

Former students


Recent/Upcoming Teaching


Selected Professional Activities

  • Senior area chair, NeurIPS 2021
  • Speaker at Joint Statistical Meetings session on Statistical Inference with Permuted Data, August 2021
  • Speaker at SIAM CSE mini-symposium on Recent Advances in Machine Learning and Optimization, March 2021
  • Senior program committee member, COLT 2021
  • Program chair, COLT 2020
  • Tutorial on surrogate loss functions in machine learning at the 2nd Workshop on Learning Theory, TIFR, Mumbai, India, January 2020
  • Area chair, NeurIPS 2019
  • Area chair, ICML 2019
  • Program committee member, COLT 2019
  • Associate Editor, Harvard Data Science Review (2018--)
  • Action Editor, Journal of Machine Learning Research (2018--)
  • Area chair, NeurIPS 2018
  • Area chair, IJCAI 2018
  • Program committee member, COLT 2018
  • Program committee member, COLT 2017
  • Associate Editor, Journal of Artificial Intelligence Research (2016--2018)
  • Senior program committee member, IJCAI 2016
  • Program committee member, COLT 2016
  • Dagstuhl Seminar on Mathematical and Computational Foundations of Learning Theory, Dagstuhl, Germany, Aug 2015
  • Indo-American Kavli Frontiers of Science Symposium, Irvine, CA, USA, August 10-12, 2015