I grew up in Taiwan, where natural phenomena dance year-round. When I was little, I got so excited about Typhoons coming nearby the island, and the most enjoyable thing was comparing the forecast I made with the actual trajectory afterward. 

Carrying the passion for studying weather, I did my undergraduate degree at National Central University, where I majored in Atmospheric Science and got exposed to field campaigns (see the picture on the right, my first-time snow in a sub-tropical climate) studying the impact of air pollution on cloud microphysical and chemical properties, and ground-based remote sensing instruments such as Cimel Sun Photometer and Micro Pulse Lidar (MPL) for measuring aerosol optical properties. I later became interested in analyzing satellite data and was part of a lab team building an aerosol retrieval algorithm for the Himawari-8 geostationary satellite. 

I joined Chiu’s group in 2019 fall, working on topics related to remote sensing, 3D radiative transfer, and cloud-aerosol-precipitation-radiation interactions. In my M.S. thesis, I built a fast 3D radiative transfer emulator using machine learning techniques and a new aerosol retrieval method for satellite observations that could enable us to assess direct radiative effect of aerosols, especially the contribution from near-cloud regions. 

Currently, I am Ph.D. candidate, founded by NASA Future Investigators in NASA Earth and Space Science and Technology (FINESST) Fellowship to study the role of near-cloud aerosols in radiative forcing and their dependence on cloud organization.

When I have spare time, I enjoy playing sports (any on-land sport), playing the violin, being out in nature, and spending quality time with my family and friends.