DrGege Wen

Assistant Professor In AI/Machine Learning

Department of Earth Science & Engineering - Faculty of Engineering

  • Assistant Professor In AI/Machine Learning
    Department of Earth Science & Engineering - Faculty of Engineering
  • Royal School of Mines, South Kensington Campus, United Kingdom

BIO

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

My 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. I specialize in (1) multiphase flow and transport for CO2 geological storage, (2) sustainable subsurface energy storage, and (3) ML for scientific computing.

I obtained my Ph.D. from the Energy Sciences & Engineering Department at Stanford Doerr School of Sustainability 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.

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

DEGREES

  • PhD
    Stanford University, Stanford, United States24 Sep 2018 - 12 Jan 2024

FACULTY

  • Faculty of Engineering

POSITION NAME

  • Assistant Professor In AI/Machine Learning

FIELDS OF RESEARCH