About Me
I am a Research Scientist at Meta Superintelligence Labs, working on Llama post-training. I was previously on the AI and Systems Co-Design team.
I received my PhD from Purdue University in 2025, working on computer systems and was advised by Prof. Y. Charlie Hu. My PhD research has focused on (1) Building efficient, high-throughput machine learning inference systems, with a focus on supporting latency-critical applications such as augmented reality (AR) and virtual reality (VR). (2) Experimental measurement studies on emerging mobile networks such as 5G. My research has been acknowledged with a Best Paper Award from ACM EdgeSys 2022, and a Best Dataset Award from PAM 2021.
Recent Publications
Replication: "Performance of Cellular Networks on the Wheels"
ACM Internet Measurement Conference (IMC '25)
PPIPE: Efficient Video Analytics Serving on Heterogeneous GPU Clusters via Pool-Based Pipeline Parallelism
2025 USENIX Annual Technical Conference (ATC '25)
High-Fidelity Cellular Network Control-Plane Traffic Generation without Domain Knowledge
ACM Internet Measurement Conference (IMC '24)
ARISE: High-Capacity AR Offloading Inference Serving via Proactive Scheduling
ACM International Conference on Mobile Systems, Applications, and Services (MobiSys '24)
Performance of Cellular Networks on the Wheels
ACM Internet Measurement Conference (IMC '23)
AccuMO: Accuracy-Centric Multitask Offloading in Edge-Assisted Mobile Augmented Reality
Annual International Conference On Mobile Computing And Networking (MobiCom '23)