CV
PDF version of my CV can be found here.
Education
- Ph.D. in EE, University of Southern California, 2020 - 2025
- M.S. in EE, University of Southern California, 2020 - 2024
- B.S. in EE, National Taiwan University, 2016 - 2020
Experience
- Research Scientist, Meta (Jul. 2025 - Present)
- Work with the AI Systems Co-Design team on performance projection for GenAI training on large-scale GPU clusters.
- Help evaluate next-generation LLM architectures through performance modeling, including achievable MFU estimates and training-step time breakdowns.
- Research Intern, Microsoft (May 2024 - Aug. 2024)
- Worked with the AI Framework Team on automatic model parallelization for LLM serving systems.
- Developed APEX, an LLM serving simulator for parallel execution planning.
- Electrical Engineering R&D Intern at Hewlett-Packard (HP) (July 2019 - July 2020)
- Worked with the commerical notebook team.
- Filed a patent on a novel way to interface with your laptop.
Services
Workshop Chair, The 31st IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC) (2024)
Registration Chair, International Symposium on Field-Programmable Custom Computing Machines (May 2023)
Student Volunteer, IEEE International Parallel & Distributed Processing Symposium (May 2023)
- Reviewer
- IEEE International Parallel & Distributed Processing Symposium (IPDPS)
- ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA)
- International Conference for High Performance Computing, Networking, Storage, and Analysis (SC)
- IEEE International Conference on Application-specific Systems, Architectures, and Processors (ASAP)
- Teaching Assistant
- EE451 Parallel and Distributed Computation (Fall 2022, Spring 2022)
- EE457 Computer Systems Organization (Fall 2021)
Awards
- 2024 Capital One Fellow
- 2024 SRC AIHW Annual Review Best Presentation Award
- 2024 IPDPS Best Poster Award (Honorable Mention)
- 2020 Viterbi School of Engineering Fellowship
- 2019 NTUEE Undergraduate Innovation Award: Third Prize
