I am a Ph.D. candidate in the Donald Bren School of Information and Computer Science at the University of California (UC), Irvine where I am advised by Professor Sharad Mehrotra. I have been supported by fellowships from the  Hasso Plattner Institute (HPI), the Noyce Initiative, and NSF grants .  

My research focuses on privacy and security in databases, with an emphasis on data retention management and scalable query optimization in complex, policy-constrained environments. I am particularly interested in developing formal guarantees for privacy-preserving data processing - collection, retention, and deletion, especially in the presence of logical dependencies, adversarial inference, and evolving regulatory frameworks. My work combines systems-level implementation with rigorous formal methods: I leverage tools from finite model theory, computational complexity, and optimization theory to precisely characterize the computational boundaries of problems and design efficient algorithms. This dual grounding allows me to design solutions that are not only practically deployable but also provably sound. My broader goal is to build database infrastructure that is both operationally efficient and legally robust, thereby bridging theoretical insights with applied impact across data processing pipelines.

Before coming to UC Irvine, I was a graduate student at UC Santa Cruz advised by Professor Phokion Kolaitis where I worked briefly in Computational Social Choice focusing on aggregation of personal preferences.  My Erdős number is 3 (Paul Erdős → Bruce Lee Rothschild → Phokion Kolaitis → Me). Prior to that, I received formal training at the University of Cambridge under the supervision of Professor Anuj Dawar.  I graduated summa cum laude in Computer Science and Philosophy from UC Davis where my honors committee comprised of (the late) Professor Aldo Antonelli, Professor Nina Amenta, Professor Elaine Landry, and Professor Norman Matloff.