CV

Curriculum Vitae (Last update: Nov 2025)

Education

Ph.D. Candidate in Computational Hydrology
University of California, Irvine, CA | 2021 – Present
Research areas: Large-scale hydrologic modeling, Reservoir simulation
Advisors: Prof. Soroosh Sorooshian, Prof. Kuo-lin Hsu.

M.S. in Civil and Environmental Engineering
University of California, Irvine, CA | 2019 – 2021
Thesis: Exploration of Deep Learning Models for Streamflow Simulation
Advisor: Prof. Kuo-lin Hsu

B.S. in Environmental Science
Sichuan University, Chengdu, China | 2015 – 2019
Thesis: Estimation of PM₁₀ in China Using Random Forest (2013–2016)
Advisor: Prof. Yu Zhan

Professional Experience

Oak Ridge National Laboratory, Oak Ridge, TN
Research Intern | Jun 2025 – Dec 2025

• Developed a spatially distributed, data-driven hydrologic modeling framework across 921 North American catchments.
• Achieved improved streamflow predictions compared to lumped models, with NSE and KGE increased in 75.4% and 72.9% of catchments, respectively.

Fujitsu Research of America, Santa Clara, CA
AI Research Intern | Oct 2024 – Jun 2025

• Develop an AI-foundation model for global flooding prediction, benchmarked against Google’s LSTM model across over 6,000 catchments while reducing 87% computing length.
• Tackled landslide data scarcity by leveraging a multi-task learning framework jointly trained with streamflow signals, achieving a 12% performance improvement compared to NASA’s operational XGBoost model.