Biography
I am a researcher working as a postdoctoral associate advised by Professor Sahil Shah in University of Maryland, College Park. Before my postdoc, I completed my Ph.D. at ICBio Lab, Electrical and Computer Engineering, Carnegie Mellon Univeristy in Jan. 2025 (advised by Professor Marc Dandin).My current research centers on energy-efficient AI hardware that bridges the gap between ML model compression and edge inference. At Maryland, I built a low-bit systolic array on FPGA, demonstrating the applicability of 3-bit Vision Transformer training. In my PhD dissertation, I developed an ASIC capacitance sensor for cancer cell assay. Throughout my PhD career, I was a recipitent of CMLH Fellowship and Carnegie Institute of Technology Dean’s Fellow. I also held a research internship at Apple in Cupertino in 2021.
Education
Ph.D. in Carnegie Mellon University
- 2018-2025
- Electrical and Computer Engineering
- Advised by Marc Dandin (2020~2025)
- Previous advisors: Daniel Bankman(2020), Radu Marculescu (2018-2019)
- Dissertation topic: A Multi-Modal Computational Framework for in vitro Cancer Cell Analysis Based on Capacitance Sensing and Optical Imaging
M.S. in Carnegie Mellon University
- 2018-2022
- Electrical and Computer Engineering
M.S. in National Tsing Hua University (Incomplete)
- 2017-2018
- Electrical Engineering
- Advised by Jing-Jia Liou
B.S. in National Tsing Hua University
- 2013-2017
- Electrical Engineering
- Class Representative