I am a Senior Researcher in the Intelligent Networked Systems Group at Microsoft Research Redmond. In the spring of 2025, I will be joining the University of Illinois at Urbana-Champaign (UIUC) as an Assistant Professor of Computer Science, with an affiliate appointment in Electrical & Computer Engineering.

My research focuses on enhancing networked systems with practical machine learning (ML), ranging from building real-world systems and open research platforms that lay the groundwork for applying ML, to devising ML-based algorithms that are readily deployable in practice. I am the creator of Puffer, a live TV service that has attracted over 360,000 real users (as of July 2024), as well as a video research platform that has assisted researchers in publishing top-tier and award-winning papers.

Prior to Microsoft Research, I received my Ph.D. in computer science from Stanford University, where I was advised by Keith Winstein and Philip Levis. Before that, I did my undergraduate studies at Tsinghua University (Yao Class) and MIT. I am a recipient of an IRTF Applied Networking Research Prize, a USENIX NSDI Community Award, a USENIX NSDI Outstanding Paper Award, a USENIX ATC Best Paper Award, and an APNet Best Paper Award.

Topics I have recently worked on include:

• ML-enhanced video systems: Puffer [NSDI '20], Tambur [NSDI '23], Grace [NSDI '24]
• ML-assisted cloud resource management: Autothrottle [NSDI '24]
• ML-accelerated network optimization: Teal [SIGCOMM '23]
• ML-augmented configuration anomaly detection: Diffy [PLDI '24]
• RL-based system and network policies: Genet [SIGCOMM '22]