Summary
Chengfei He is an atmospheric scientist and assistant professor with a decade of experience using statistical and physical principles to analyze global hydroclimate and energy transport from observations and large-scale climate models. He has led petabyte-scale projects (notably the 1PB iTRACE simulation on NCAR's cloud), developed model components such as a radiocarbon cycle in CESM, and published in high-impact journals including Nature Climate Change. Equally comfortable with theory and engineering, he builds open-source tools (xMCA, XCESM, GCMAverager) to process and visualize massive model outputs and has strong software skills across Python, MATLAB, Fortran, Julia, SQL, and git. His work blends climate-model development, big-data workflows, and advanced diagnostics to enable reproducible, scalable science. Based in Columbus, Ohio, he is motivated to apply data-driven methods to real-world problems beyond academia. An owner of both deep domain insight and production-grade tooling, he bridges novel physical understanding with practical software delivery.
10 years of coding experience
10 years of employment as a software developer
Master's degree, Atmospheric Sciences and Meteorology, 3.85, Master's degree, Atmospheric Sciences and Meteorology, 3.85 at Nanjing University of Information Science and Technology
Doctor of Philosophy (PhD) Candicate, Doctor of Philosophy (PhD) Candicate at University of Wisconsin-Madison
Doctor of Philosophy - PhD, Atmospheric Physics and Dynamics, Doctor of Philosophy - PhD, Atmospheric Physics and Dynamics at The Ohio State University
Chinese, English