Gege is an Assistant Professor at Imperial College London, co-appointed by Earth Science Engineering and I-X (Imperial AI). 

Her research interest is developing computational methods for Earth and environmental science problems to help fulfill society’s energy needs and transition toward a low-carbon future. She specializes in (1) multiphase flow and transport for CO2 geological storage, (2) sustainable subsurface energy storage, and (3) ML for scientific computing. 

Gege obtained her Ph.D. from the Energy Sciences & Engineering Department at Stanford Doerr School of Sustainability with Professor Sally M. Benson. She received her Master’s degree in Fluid Mechanics and Hydrology from Civil and Environmental Engineering at Stanford University. Prior to her Ph.D. at Stanford, she received her Bachelor’s degree with honors from Lassonde Mineral Engineering at the University of Toronto.

Gege is the creator of CCSNet.ai, an AI-based physics simulation tool for CO2 geological storage modeling.