I'm a Ph.D. candidate at UCLA advised by Harry Xu and Ravi Netravali. I'm broadly interested in systems and networking, and my research focuses on building systems that enable scalable machine learning on real-time video data. Specifically, the systems I build target an improved tradeoff between performance (e.g., accuracy, latency) and resource usage (e.g., cost, memory, bandwidth consumption) in large-scale video analytics systems. Before joining UCLA, I was a software engineer at Microsoft for three years, working on Microsoft Office's UI and accessibility on Mac and iOS. Before that, I received a B.A. in Computer Science from Pomona College in 2014.
Update: I'm excited to join Harvey Mudd College's computer science department as a visiting professor in Fall 2022!