About Me
Hello! I'm TJ.
I completed my Ph.D. with Prof. Cynthia Gerlein-Safdi at UC Berkeley (2024).
Currently a Postdoctoral Researcher with Prof. Gabriele Villarini at Princeton University.
I work at the intersection of nature and computer vision, bridging physical understanding and data-driven intelligence.
My research integrates remote sensing, physics-based modeling, and machine learning to quantify climate hazards and translate complex environmental processes into decision-relevant insights.
I focus on high-impact hazards including extreme flooding, wildfires, and hailstorms, and I develop scalable algorithms and tools at global and large-regional scales to accelerate the translation of scientific discovery into real-world applications.
Outside of research, I find my rhythm in rap, dance and vibe coding.
Education
| Ph.D. | University of California, Berkeley | Civil and Environmental Engineering | 2024 |
| M.Sc. | University of California, Berkeley | Civil and Environmental Engineering | 2019 |
| B.Sc. | University of Illinois Urbana-Champaign | Civil and Environmental Engineering | 2018 |
I was born and raised in Wuxi, China, on the shores of Tai Lake (a critical freshwater lake in the Yangtze River Delta), with the Grand Canal (the world’s longest ancient artificial waterway) running through the city — both inspired my pursuit of environmental engineering.
My technical foundation is shaped by a Minor in Computer Science from UIUC and by Minor Fields in Earth and Planetary Science and Computer Science during my Ph.D. at Berkeley, providing the analytical tools to decode complex natural processes through a computational lens.
Selected Projects
Berkeley-RWAWC:Wetland Dynamics Mapping via CV
Developed computer vision framework for tropical and subtropical surface water mapping with CYGNSS, overcame the limitations of traditional optical remote sensing under persistent cloud cover. Delivered the first official water mask product to the CYGNSS Science Team. The dataset is hosted at NASA PO.DAAC .
Academic Engagement
Selected Presentations
Meter-Scale Hail Detection from Space Poster
High-Resolution Flood Inundation Mapping of U.S. Tribal Nations Under Current and Future Conditions: The Case of the Santee Sioux Nation Poster American Geophysical Union Fall Meeting
Beneath the sea of clouds: a new CYGNSS-based monthly watermask product uncovers the hidden seasonality of tropical waterbodies* Poster American Geophysical Union Chapman Conference - Remote Sensing of the Water Cycle: Sensors to Science to Society
View Earlier Presentations (2019–2023)
Beneath the sea of clouds: a new CYGNSS-based monthly watermask product uncovers the hidden seasonality of tropical waterbodies* American Geophysical Union Fall Meeting
Coupling CYGNSS and DEM Data For High Spatio-Temporal Mapping of Inundation* IEEE International Geoscience and Remote Sensing Symposium