I am a Ph.D. candidate in FPGA/Parallel Computing Lab at University of Southern California, advised by Prof. Prasanna. I will be joining the AI System Co-Design team at Meta as a Research Scientist this Summer. My recent work focuses on developing Automated ML Systems, such as an auto-tuning runtime system for GNN training, and automatic model parallelization for LLM serving. I was also a Research Intern at Microsoft AI Framework team, where I worked on optimizing distributed inferencing for LLM serving.

I completed my undergraduate study in National Taiwan University (NTU), majored in Electrical Engineering. I was also an Electrical Engineering Intern at Hewlett-Packard (HP), Taipei. During my one-year internship, I patented my work as first author.

In addition to research interests, I’m also into video editing and photography. Check out my vlogs and photos.

Latest News

May 20, 2024: Started my internship at Microsoft.

Apr 6, 2024: ARGO is nominated as the best paper of IPDPS 2024 (4 out of 88 papers). ARGO is now publicly available on the Deep Grap Library.

Nov 1, 2023: Passed my qualify exam!

Jan 10, 2022: I will be serving as the Registration Chair in IEEE FCCM 2023, see you in LA.