I build algorithms and systems that make computation private, scalable, and fast.

I am a Ph.D. candidate in Computer Science at Yale University and an Applied Researcher Intern at eBay. At Yale I am part of the WildAlgs Lab, advised by Professor Quanquan Liu. My research sits at the intersection of algorithms, differential privacy, distributed and high-performance systems, and machine learning.

I have developed distributed differentially private graph algorithms with substantially improved empirical accuracy, learning-augmented methods for private online analytics, scalable semantic-search systems, neural architectures for mathematical reasoning, and GPU-accelerated scientific software. My work has appeared at venues including VLDB, ICDE, and SIGMOD, with research experience across Yale, MIT CSAIL, Caltech, the University of Rochester, and the University of Washington.