Hello!

About Me

I am a postdoctoral scholar in computer science at the University of Waterloo, where I am hosted by Profs. Xi He and Gautam Kamath. From 2024-2025, I was a postdoc at the University of Copenhagen, where I worked with Prof. Rasmus Pagh. From 2018 to 2023, I was a PhD student at UCSD where I was advised by Prof. Kamalika Chaudhuri.

Research Interests

I like to approach important societal questions in computer science from both a theoretical and practical standpoint.

Differential Privacy: I am interested in developing DP algorithms for data with interesting structure, such as graphs or sparse datasets. Furthermore, I am curious how to use probabilistic/algorithmic techniques to improve the error or running time of DP algorithms.

Distributed Learning: In distributed learning setups, each client needs a security guarantee on how their data is handled. I am interested in designing simple, efficient distributed learning algorithms from cryptographic primitives such as secure aggregation or shuffling. I’m also curious how to add privacy guarantees into such setups.

Other Interests: Secure multiparty computation, trustworthy machine learning (e.g. robustness, explainability, fairness), information theory, logic and programming.

Link to my CV.