Bio

I am a Ph.D. candidate in computer science at Northwestern University advised by Dr. Jennie Rogers. I am looking for a post-doc position starting from 2027.

Broadly speaking, my research focuses on secure and private data management and analytics including verifiable query evaluation, outsourced querying, and private data federation. I have extensive experience with secure multi-party computation and zero knowledge proofs, and I am also familiar with differential privacy. I am interested in extending secure and privacy-preserving analytics to heterogeneous data, such as vectors and graphs.

I received my M.S. degree in Computer Science from University of Washington in 2020 advised by Dr. Martine De Cock and my B.S. degree in computer science from University of California, San Diego in 2016. During gap years between UCSD and UW, I worked for Watson IoT at IBM as a data scientist at Beijing, China.

I would welcome any inquiries regarding my research. Please don’t hesitate to get in touch if you’re interested.

News

Jul 2025: I am invited to be the reviewer of AAAI 2027.
Jun 2026: I will join Dolby as a research intern, working on hybrid query optimization.
May 2026: I am awarded as Spring 2026 outstanding teaching assistant by Northwestern CS department.

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