Update: I am looking for Ph.D. students interested in the intersection of AI, fluid flow. Please find more job info here! Note: Please include keyword “PhD application” in your email heading.

I am an assistant professor at Imperial College London, with a co-appointment from Earth Science Engineering and I-X (Imperial + AI). My group focuses on computational methods and AI for Energy Transition, with special emphasis on subsurface energy storage and CO$_2$ geological storage.I obtained my Ph.D. from the Energy Sciences & Engineering Department at Stanford Doerr School of Sustainability working with Professor Sally M. Benson. I received my Master’s degree in Fluid Mechanics and Hydrology from Civil and Environmental Engineering at Stanford University. Prior to my Ph.D. at Stanford, I received my Bachelor’s degree with honors from Lassonde Mineral Engineering at the University of Toronto.

Check out ccsnet.ai, a machine learning-based web application for real-time CO$_2$ plume migration and pressure buildup prediction. This web application provides 1,000 predictions per day to researchers, students, regulators, and industrial users across the world.