I am an assistant professor in the Department of Computer Sciences, at the School of Computing, Data, and Information Sciences at UW-Madison. I am also affiliated with the Department of Statistics. I work on theoretical topics in machine learning and game theory. For more details, see my publications. Prior to UW-Madison, I was at UC Berkeley, Carnegie Mellon University, and the University of Moratuwa, Sri Lanka. See here for a formal bio.
Selected publications: One of my current research agendas, supported in part by an NSF CAREER award, explores the incentives that arise when agents share data with one another. We are developing data-sharing mechanisms and marketplaces that promote truthful data contribution, ensure fair benefits for the participants, and generate value for society as a whole. Below are some relevant papers:
- Pairwise Exchanges of Freely Replicable Goods with Negative Externalities [arxiv]
- A Cramér-von Mises Approach to Incentivizing Truthful Data Sharing [arxiv], NeurIPS 2025
- Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution [arxiv], ICML 2025
- Mechanism Design for Collaborative Normal Mean Estimation [arxiv], NeurIPS 2023
- Incentivizing Truthful Submissions in a Data Marketplace for Mean Estimation [arxiv], AISTATS 2026
- Learning to Price Homogeneous Data [arxiv], NeurIPS 2024
- Learning from Biased and Costly Data Sources: Minimax-optimal Data Collection under a Budget [arxiv], COLT 2026
Openings: I am recruiting students with strong backgrounds in mathematics and statistics. Please read this before emailing me.
Current teaching (Fall '26): CS540 - Introduction to Artificial Intelligence
PhD students
Alex Clinton (CS)
Michael Harding (Statistics)
Joon Suk Huh (CS)
Peter Yang (CS)
Undergraduate students
Ishaan Kharbanda
Contact
Morgridge Hall 5506
University of Wisconsin-Madison
Madison, WI 53706.
email: kandasamy [at] cs (dot) wisc {dot} edu
(Please read this before emailing me)