Biography

Mohit Dubey is a scientist, musician, traveller, and educator with research interests in machine learning, environmental science and physics. He is from Los Alamos, NM and holds degrees from Oberlin College (BA/BM), The University of Alicante (Masters in Classical Guitar) and Santa Fe Community College (Teaching License). After graduating college he spent a few years teaching high school science, co-founding a music-tech startup and working at Los Alamos National Laboratory on developing robust machine learning models for analyzing spectroscopic data from laser-ionized Mars rocks. He is now a Environmental Engineering MS/PhD student at UC Berkeley where his research focuses on quantifying methane emissions using novel sensors and modeling techniques.

Currently, Dubey is working with Dr. Sebastien Biraud (Lawrence Berkeley National Laboratory) and Dr. Fotini Chow (UC Berkeley) to develop a novel dispersion model to quantify methane leaks as part of the Undocumented Orphan Wells program. As a UC Berkeley GSRA, Dubey has been developing a code using Dedalus to model plumes coming from point-like sources with variable wind conditions and near-source measurements. This code will be further developed and refined using data collected from experiments performed at LBL and validated with field measurements in Bakersfield, CA (and possibly other campaigns). Alongside this plume dispersion model, Dubey is also working on the development of a novel solar-tracking spectrometer in collaboration with Butterfly Photonics to measure column-integrated methane. These results will then be used alongside WRF-STILT source inversion models to estimate sources of methane in the Bay Area.