I am a Ph.D. Candidate in Computer Science at University of California, Davis, where I am advised by Professor Zubair Shafiq.

Broadly, my research interests include Web Privacy, Security and Transparency. My work aims to uncover hidden risks emerging from non-transparent data practices on the web to make it more secure and private. At a high level, I build novel data-driven black-box audit systems to reverse-engineer opaque data and monetary flows on the Internet. More specifically, my research methods involve leveraging large-scale persona-centric internet measurement techniques by web browser instrumentation, conducting rigorous measurements of security and privacy abuses, and using insights from the measurement studies to improve the dynamics of web.

Recent Updates

Mar 27th, 2026
I was invited to present my research at University of Iowa as part of their Rising Stars in CS Colloquium.
Mar 20th, 2026
I presented my research on data brokerage and spam in lead marketing to economists, technologists, and policymakers at the Federal Trade Commission in Washington D.C. This work is also accepted to IEEE S&P 2026!
Feb 24th, 2026
I presented my poster on Memory at the UC Noyce Initiative Research Symposium at UC Davis.
Feb 20th, 2026
I gave a talk on Memory and Personalization in LLMs at Workshop on Design, Advertising, and Privacy in Conversational AI Systems at CITRIS Tech Policy, UC Berkeley.
Feb 4th, 2026
My work on reverse-engineering Meta's tracking pixel configurations got accepted at IMC 2026.
Dec 15th, 2025
My ACR work was cited in multiple lawsuits filed against LG, Samsung, Sony, TCL, and Hisense by Texas Attorney General Ken Paxton.
Sep 25th, 2025
Serving as Web Chair for IMC 2026.
Aug 28th, 2025
Honored with Distinguished Reviewer Award at USENIX Security 2025.