I am a Senior Researcher at Microsoft Research Redmond in the Mobility and Networking Research Group. My research focuses on practical machine learning (ML) for networking, seeking to create ML algorithms that are deployable on real-world networked systems and build platforms for training and validating new algorithms.
I completed my Ph.D. in computer science at Stanford University in 2020, advised by Keith Winstein and Philip Levis. My dissertation was on the development of platforms and algorithms to achieve practical reinforcement learning (RL) on the Internet, in the context of video streaming and congestion control. The two papers composing my dissertation received the Community Award at USENIX NSDI 2020 and the Best Paper Award at USENIX ATC 2018 respectively.
Before that, I graduated from Tsinghua University in 2015, where I received a B.S. in computer science from Yao Class (founded by Turing Award laureate Andrew Chi-Chih Yao) and a B.A. in economics. I also studied at MIT in the spring of 2014.
My current favorite sport is table tennis (skilled), but I also enjoy skiing (blue trail), ice/roller skating (intermediate), playing badminton (average), swimming (novice), etc. When I have no other choice, I'm fine with hiking too, ideally on scenic trails.