
Research
My research interests include:
 Machine learning and statistical learning theory;
 Applications of machine learning, particularly in the life sciences;
 Ranking and choice models;
 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.
PhD Students and Postdoctoral Fellows
Current
Alumni
 Harikrishna Narasimhan (Next position: Postdoctoral Fellow, Harvard University)
 Arun Rajkumar (Next position: Research Scientist, Xerox Research)
 Harish Guruprasad Ramaswamy (Next position: Postdoctoral Fellow, University of Michigan, Ann Arbor)
Teaching
Teaching at Penn
Teaching at IISc
Teaching at MIT
 Spring 2009: MIT 6.041: Probabilistic Systems Analysis
 Fall 2008: MIT 6.431: Applied Probability
 Spring 2008: MIT 6.041: Probabilistic Systems Analysis
 Fall 2007: MIT 6.041: Probabilistic Systems Analysis
 Spring 2007: MIT 6.041: Probabilistic Systems Analysis
 Fall 2006: MIT 6.046: Introduction to Algorithms
 Spring 2006: MIT 6.041: Probabilistic Systems Analysis
 Fall 2005: MIT 6.041: Probabilistic Systems Analysis
Professional Activities
Conference Program Committees
 PC member:
COLT 2017,
COLT 2016,
ICML 2015,
iWML 2013,
AISTATS 2013,
ICML 2013,
ICML 2012,
SDM 2011,
COLT 2010,
ICML 2010,
ICML 2009,
ICML 2006
 Senior PC member:
IJCAI 2016,
IJCAI 2015,
SDM 2015,
PAKDD 2012,
AAAI 2011
Scientific Workshops/Meetings Organization
 IndoAmerican Kavli Frontiers of Science Symposium
Irvine, CA, USA, August 1012, 2015
 Symposium on Learning, Algorithms, and Complexity
IISc, Bangalore, India, January 59, 2015
 NIPS Workshop on Analysis of Rank Data: Confluence of Social Choice, Operations Research, and Machine Learning
NIPS 2014, Montreal, Canada, December 2014
 IndoUS Lectures Week in Machine Learning, Game Theory, and Optimization
IISc, Bangalore, India, January 710, 2014
 Bell Labs/IISc Workshop on Machine Learning, Security and Privacy
IISc, Bangalore, India, February 25, 2012
 IndoUS Symposium on New Directions in Machine Learning, Game Theory, and Optimization
IISc & Lalit Ashok Hotel, Bangalore, India, November 2010
 Workshop on The Mathematics of Ranking
American Institute of Mathematics, Palo Alto, CA, USA, August 2010
 NIPS Workshop on Advances in Ranking
NIPS 2009, Whistler, Canada, December 2009
 NIPS Workshop on Learning to Rank
NIPS 2005, Whistler, Canada, December 2005
Selected Recent Talks
 On ranking and choice models
IJCAI 2016, New York City, NY, USA, July 2016
 Computers and choice
Fellows' Public Lecture Series, Radcliffe Institute for Advanced Study, Harvard University, March 2016
 On connections between supervised learning and property elicitation, and on ranking from pairwise comparisons
Workshop on Learning, Program on Stochastic Methods in Game Theory, NUS, Singapore, November 2015
 Convex risks, calibrated surrogates, consistency, and their relationship with nonparametric estimation
Dagstuhl Seminar on Mathematical and Computational Foundations of Learning Theory, Dagstuhl, Germany, Aug 2015
Tutorials

