CV
PDF version of my CV can be found here.
Education
- Ph.D. in EE, University of Southern California, 2020 - Present
- B.S. in EE, National Taiwan University, 2016 - 2020
Research Experience
- Graduate Researcher (Aug. 2020 – Present)
- Working with Prof. Prasanna on developing ML Systems for Graph Neural Network on emerging heterogeneous platforms.
- Research Intern (May 2024 – Aug. 2024)
- Working with the AI Framework Team on developing ML Systems for serving Large Language Models.
Work Experience/ Services
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 Symposiumon Field-Programmable Gate Arrays (FPGA)
- International Conference for High Performance Computing, Networking, Storage, and Analysis (SC)
- IEEE International Conferenceon Application-specific Systems, Architectures, andP rocessors (ASAP)
- Teaching Assistant
- EE451 Parallel and Distributed Computation (Fall 2022, Spring 2022)
- EE457 Computer Systems Organization (Fall 2021)
- Electrical Engineering R&D Intern at HP, Taipei (July 2019 - July 2020)
Awards
- 2024 Captial 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
Skills
- Hardware
- Verilog/SystemVerilog
- High-level Synthesis (HLS)
- oneAPI
- Software
- C/C++
- Python
- Parallel Programming
- Pthreads
- OpenMP
- MPI
- CUDA