I am an Assistant Professor of Computer Science at Rice University and a member of the Ken Kennedy Institute. Prior to that, I was a postdoctoral researcher at UC Berkeley, hosted by Michael Jordan. In the summer 2023, I obtained my Ph.D. in Electrical Engineering and Computer Science from MIT, where I worked with Asu Ozdaglar and Daron Acemoglu. I spent Fall 2023 as the Gamelin Postdoctoral Fellow at the Simons Laufer Mathematical Sciences Institute (formerly MSRI), where I was a member of the Mathematics and Computer Science of Market and Mechanism Design program.
My research interests lie in the span of machine learning theory, market and mechanism design, game theory, optimization, and privacy. My research integrates insights from all these areas to address the complex challenges arising from the interaction between ML algorithms and human behavior.
My Ph.D was generously supported by the Apple Scholars in AI/ML PhD fellowship, the MathWorks Engineering Fellowship, and the Siebel Scholarship. I spent summer 2020 as a research intern at Apple ML Privacy team. Before going to MIT, I earned a dual B.Sc. degree in Electrical Engineering and Mathematics from Sharif University of Technology.
Here are links to my CV and my Google Scholar.
AVAILABLE POSITIONS
Ph.D. Positions: I am actively recruiting Ph.D. students for the upcoming application cycle to begin in Fall 2026. If you are interested in working with me, please apply to the Rice Computer Science Ph.D. program and mention my name in your application.
If you are currently a graduate student at Rice, feel free to email me directly!
Undergraduate Positions: If you are a Rice undergraduate interested in working on a research project, feel free to reach out!
Recent News
- October 2025: New Paper out: High-Probability Bounds For Heterogeneous Local Differential Privacy
- August 2025: New paper out: The Statistical Fairness-Accuracy Frontier
- August 2025: My interview with the Institute for New Economic Thinking (INET) is now out! Here is the link on YouTube and on the INET website.
- July 2025: New paper out: A General Framework for Estimating Preferences Using Response Time Data
- June 2025: Our research cluster on “Foundations of Trustworthy AI: Privacy, Fairness, Security, and Societal Impact for Responsible AI” just got funded by the Ken Kennedy Institute at Rice University!
- May 2025: I’m excited to share that I’ll be joining Rice University as an Assistant Professor of Computer Science this fall!
- April 2025: We’re organizing a (virtual) tutorial on the Economics of Data as part of the EC conference this year! The website will be updated soon.
- January 2025: Our paper Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy just got accepted to AISTATS 2025!
- October 2024: New paper out: Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy
- October 2024: I presented the following papers at the 2024 INFORMS Annual Meeting:
- The Limits of Price Discrimination Under Privacy Constraints.
- Contract Design With Safety Inspections.
- September 2024: Our paper, Fair Allocation in Dynamic Mechanism Design, has been accepted to NeurIPS 2024!
- August 2024: I presented two recent works on privacy and markets at Rotman Young Scholar Seminar Series, University of Toronto!
- June 2024: Two papers accepted at ICML workshops (as non-archival publication):
- On Three-Layer Data Markets is accepted for Oral presentation at the ICML Workshop on Agentic Markets.
- Fair Allocation in Dynamic Mechanism Design is accepted at the ICML Workshop on Humans, Algorithmic Decision-Making and Society.
- June 2024: I presented my work on Data Markets at Digital Activities Seminar Series, Paris Dauphine University!
- June 2024: New paper out: Fair Allocation in Dynamic Mechanism Design
- May 2024: Presented our paper, The Limits of Price Discrimination Under Privacy Constraints, at the Marketplace Innovation Workshop!
- May 2024: Our paper, Contract Design With Safety Inspections, has been accepted to the ACM Conference on Economics and Computation (EC) 2024!
- April 2024: My dissertation is selected for Honorable Mention in the ACM SIGecom Doctoral Dissertation Award!
