Professor Yan's research is focused on physics- and data-driven modeling for complex subsurface processes pertaining to geo-energy systems and environmental domains. Areas of investigation include reservoir simulation and surrogate modeling for flow and transport in porous media (mainly shale). Research conducted in the DGYM adopts an interdisciplinary approach, integrating physics with data analytics in geo-energy reservoir simulation, history matching and reservoir optimization. The DGYM group aims to develop advanced physics-driven numerical simulation and data-driven modeling technologies to increase understanding of subsurface processes such as hydrocarbon recovery, geological carbon storage and recovery, and hydrogen storage, with the goal to enhance sustainability of the energy supply and also decrease environmental risks associated with subsurface engineering operations. ​