Summary
Ming Pan is a Senior Hydrologist based in San Diego with 11 years of professional experience combining rigorous mathematical training and hands-on computational engineering. He holds a PhD in Civil and Environmental Engineering from Princeton and a BE in Hydraulic Engineering from Tsinghua, and has progressed through research roles at Princeton and MIT to his current position at Scripps Institution of Oceanography. Ming blends deep expertise in statistics, probability, and stochastic dynamic systems with practical skills in programming, system and web administration, and data processing to tackle complex hydrologic problems. A prolific researcher and effective educator, he has a strong publication record and a knack for translating advanced concepts into clear lessons for students. Notably, his profile reflects a rare hybrid of theoretic rigor and self-taught engineering that enables both innovative modeling and reproducible computational workflows.
10 years of coding experience
13 years of employment as a software developer
BE, Hydraulic Engineering, BE, Hydraulic Engineering at Tsinghua University
PhD, Civil and Environmental Engineering, PhD, Civil and Environmental Engineering at Princeton University