I am 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 coming to MIT, I earned a dual B.Sc. degree in Electrical Engineering and Mathematics from Sharif University of Technology. 

I am on the 2024-2025 academic job market! Here are links to my Google Scholar and my CV. 

Recent News

• 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, Monday October 21, 10:45 AM, MB09, Summit-329.
  • Contract Design With Safety Inspections, Monday, October 21, 4:18 PM, ME10, Summit-330.

• 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!

• April 2024: Our paper, Contract Design With Safety Inspections, has been accepted to (the non-archival track of) the Symposium on Foundations of Responsible Computing (FORC)!

• February 2024: New paper out: On Three-Layer Data Markets

• February 2024: New paper out: The Limits of Price Discrimination Under Privacy Constraints

• January 2024: Just presented our paper “How Good Are Privacy Guarantees? Platform Architecture and Violation of User Privacy” at the ASSA 2024 Annual Meeting.

• November 2023: New paper out: Contract Design With Safety Inspections

• October 2023: Just presented our work on bridging central and local differentially private mechanisms for data acquisition in INFORMS 2023 Annual Meeting in Phoenix, Arizona!

• October 2023: I just gave a talk at the BLISS seminar at UC Berkeley on our work “Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms“!

• October 2023: Presented our paper “How Good Are Privacy Guarantees? Platform Architecture and Violation of User Privacy” at SLMath/MSRI Seminar on Market and Mechanism Design [video].

• September 2023: The conference version of our paper “How Good Are Privacy Guarantees? Platform Architecture and Violation of User Privacy” just got accepted to the Conference on Web and Internet Economics (WINE 2023)!

• August 2023: Our paper “Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms” just got accepted for publication in the Operations Research journal!

• July 2023: Presented our work on privacy guarantees and platforms behavior at the Graduating Bits workshop at EC 2023 in London!

• July 2023: Presented two papers, one on bridging central and local differentially private mechanisms for data acquisition and the other one on privacy guarantees and platforms behavior, at the INFORMS Revenue Management and Pricing (RM&P) at the Imperial College Business School, London!

• June 2023: I passed my Ph.D. thesis defense! Huge thanks to my committee members Asu, Daron, and Costis!