I am a fifth-year computer science Ph.D. at Stanford University advised by Keith Winstein and Philip Levis, with a research focus on practical machine learning for networking. Please refer to my research statement for more details.
My most recent research proposed a machine-learned video streaming algorithm that robustly outperformed existing schemes. For the purposes of training and evaluation, I built a live TV streaming website, Puffer (Community Award at NSDI ’20), which currently has more than 100,000 users, and is covered by Wikipedia and many press articles. I'm very proud of it because building a free and open-source “YouTube TV” might be a lot more challenging than you thought! Previously, I received a USENIX ATC Best Paper Award for Pantheon.
In my spare time, I play table tennis at the Stanford Table Tennis Club.