Yi-Chung (Andrew) Chen

I am a second-year PhD student in Electrical and Computer Engineering at Purdue University (started 2024), co-advised by Prof. Jing Gao and Prof. David Inouye. My research focuses on trustworthy machine learning, with the goal of making advanced artificial intelligence technologies more accessible to everyone.

Prior to my PhD, I earned my M.S. in Communication Engineering from National Taiwan University (2021-2023), where I was advised by Prof. Ming-Syan Chen. I completed my B.S. in Electronic Engineering at National Yang Ming Chiao Tung University (2017-2021), where I was mentored by Prof. Hong-Han Shuai and Prof. Wen-Huang Cheng.

I have professional experience as an engineer at Mediatek (2023-2024), where I developed model quantization tools. I also co-founded Stylins, an online virtual try-on service startup, although the venture has since ceased operations.

My research interests span various aspects of machine learning, including quantization for diffusion models, federated learning contribution evaluation, computer vision applications, and WiFi-based human sensing. Through my work, I aim to bridge the gap between cutting-edge AI research and practical, accessible applications.