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