Hello!

About Me

I am a postdoctoral researcher in computer science at the University of Copenhagen. My host is 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 am interested in approaching important societal questions in computer science from primarily a theoretical standpoint, with practice mixed in.

Differential Privacy: I am interested in developing DP algorithms for new problems, such as computing on graphs or sparse datasets. Furthermore, I am curious how to use probabilistic/algorithmic techniques to improve the noise due to privacy or running times 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 in how to add privacy guarantees into such setups, particularly when the clients have large, heterogeneous datasets.

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

Link to my CV.