I am a Bioinformatician and Computational Biologist with a Ph.D. from UC Riverside, specializing at the intersection of evolutionary biology, large-scale genomics, and high-performance software engineering.
My research leverages computational algorithms and statistical methods to investigate genome evolution, structural variation, and microbial diversity across comparative genomics and metagenomics datasets. In parallel, I develop and apply machine learning and deep learning models to predict regulatory features and analyze complex epigenomic patterns. I am passionate about engineering open-source bioinformatics software and automated workflows that scale seamlessly from local workstations to high-performance computing (HPC) clusters.
Having started my career at the bench in molecular biology before transitioning to computational research, I design software with a practical understanding of both the underlying biology and the data it produces.
PhD in Genetics, Genomics & Bioinformatics
Sep 2020
Dec 2025
University of California, Riverside
MS in Biochemical Science and Technology
Sep 2012
Jun 2015
National Taiwan University
BS in Life Sciences
Sep 2008
Jun 2012
National University of Kaohsiung