Mohit Dubey is a PhD candidate in Environmental Engineering at UC Berkeley, advised by Professor Tina Chow and Sebastien Biraud. As a DOE Computational Science Graduate Fellow, his work bridges atmospheric science, high-performance computing, and machine learning. His research focuses on methane emissions and multiscale atmospheric dynamics. Most recently, he co-developed the FAST method (Forced Advection Sampling Technique) in collaboration with the Osage Nation to detect and quantify methane emissions from orphaned oil and gas wells. His work integrates satellite, airborne, and ground-based data with modeling tools to better understand greenhouse gas sources and support data-driven climate solutions.
Mohit Lauer Dubey
