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, optimization, and privacy. In particular, I work toward understanding different aspects and challenges in deploying machine learning algorithms, from convergence and performance guarantees to their interactions with strategic users and potential societal considerations.

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. 


Recent News

  • April 2024: My dissertation is selected for Honorable Mention in the ACM SIGecom Doctoral Dissertation Award!
  • 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!