About

I am an assistant professor in the Department of Physics at National Chung Cheng University (CCU). My current research interest is primarily in developing novel machine learning tools for the analysis of biological sequence data, aiming to extract information about the underlying mechanisms of biological systems or phenomena. 

Before joining CCU, I was a postdoctoral fellow in the Simons Center for Quantitative Biology at Cold Spring Harbor Laboratory (CSHL). It was at CSHL that I started working on multidisciplinary research that involves physics, biology, and machine learning. The goal at that time was to develop machine learning methods (inspired by theoretical physics) for statistical inference and data analysis. That experience shaped my current research interest.

Earlier on, I did my graduate study and got my Ph.D. in physics at Florida State University (FSU), where I built phenomenological models for the description of nuclear systems ranging from atomic nuclei to neutron stars - objects that differ by 18 orders of magnitude in size. These objects from heaven and earth are the key to understand the fundamental strong interaction of nature.