Research Interests

I am interested in reservoir modeling and computational geophysics, with a focus on developing efficient and physics-informed tools for subsurface applications in the energy transition, including carbon storage, geothermal energy, and hydrogen storage.

My work combines numerical reservoir simulation with machine learning surrogates, enhanced by flow diagnostics such as time-of-flight, to accelerate predictions of fluid flow and plume migration.

More broadly, I aim to design scalable workflows that improve uncertainty quantification, history matching, and near-real-time monitoring to support safe and efficient deployment of energy transition technologies.