I am a first year astrophysics PhD student at the University of Massachusetts Amherst working with Dr. Yuan Li. My research interest focuses on using/developing modern computational tools to study astrophysical phenomena through a data-driven and analytical approach.
As a computational astrophysicist, I am interested in the fundamental physical processes governing our universe. My work involves developing and utilizing cutting-edge numerical simulations and data analysis techniques to answer questions about the formation and evolution of cosmic structures.
I was born and raised in Taiwan, on the outskirts of Taipei. My path to astrophysics began with a general education credit course in astronomy during my short stint as an engineering undergraduate student at the National Tsing Hua University. Fascinated by the vastness of questions physics and computation could answer, I transferred to Muhlenberg College in the United States to pursue a multidisciplinary education in physics and computer science. I wrote an "award-winning" (it was a $500 gift card haha) article about my journey from the Taiwan public education system to a private liberal arts college in the United States.
After another short stint at the University of North Texas as a Physics PhD student and a short career break to finish military service requirements with the Republic of China (Taiwan) Military Police, I am now a PhD student at the University of Massachusetts Amherst, where I am working with Dr. Yuan Li on computational astrophysics research.
Beyond research, I enjoy moving around in general. To that respect, I like hiking, playing tennis, and playing soccer. Otherwise, when I'm not thinking about physics or moving around, I enjoy talking to people about education and learning about different cultures.
Studying the effects of physical processes such as viscosity and conduction in the intracluster medium of galaxy clusters. We use a computational and theoretical approach to understand the system using the Enzo-E MHD code. In addition to scientific results, the work will also contribute to the Enzo-E codebase by adding new physical models.
Developed automated tools incorporating Markov Chain Monte Carlo sampling for analyzing Zeeman spectral lines in astrophysical data. Published on the RNAAS and as a pip installable on GitHub. Part of the NRAO Summer Student Research Program 2023 working with Dr. Preshnath Jagannathan.