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:

• 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
• Contributor-Side Incentives in a Data Marketplace for Mean Estimation [arxiv]
• Learning to Price Homogeneous Data [arxiv],   NeurIPS 2024

Openings: I am recruiting students with strong backgrounds in mathematics and statistics. Please read this before emailing me.

Current teaching (Spring '26):   CS639 - Algorithmic Game Theory and Learning

PhD students

Keran Chen (Statistics)
Alex Clinton (CS)
Michael Harding (Statistics)
Joon Suk Huh (CS)
Peter Yang (CS)

Master's students

Yaolong Yu

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)