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 primary research interest lies in trustworthy machine learning, with a focus on advancing robustness and explainability to enable reliable AI applications. My recent work investigates conditional generative models for classification, which offer promising advantages in robustness and interpretability. In the past, I have explored various topics including computer vision, model quantization, and federated learning.