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I am a Ph.D. candidate in the Electrical Engineering and Computer Science Department at MIT. I am fortunate to work with Professor Asuman Ozdaglar and Professor Daron Acemoglu. My research interests lie in the span of machine learning theory, statistics, data market and privacy, game theory, and optimization. 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 research is currently supported by the Apple Scholars in AI/ML PhD fellowship. I have also been the recipient of the MathWorks Engineering Fellowship and 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. 

Here are links to my Google Scholar and my CV.

Recent News

 I will be on 2022-2023 academic job market!
My presentations at 2022 INFORMS Annual Meeting:

-   Privacy Costs Of Strategic Data Sharing: Implications Of Shuffling
    Session ME68: Data, Society, and Algorithms
    Monday October 17, 5:00-6:15 PM.

- Optimal And Differentially Private Data Acquisition: Central And Local Mechanisms
   Session TA65: Economics and Computation I [For EC accepted papers]
   Tuesday October 18, 8:00-9:15 AM.
  • September 2022: Our paper on Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms just got accepted to NeurIPS 2022!
  • June 2022: Received a minor revision decision from the Operations Research journal for our paper titled “Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms”.