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Tapan Mukerji co-directs the Stanford Center for Earth Resources Forecasting (SCERF) research group. His multi-disciplinary research integrates rock physics, wave propagation physics, and spatial data science with machine learning, focusing on remote sensing applications in subsurface systems and processes, stochastic geomodeling, and uncertainty quantification of value information in Earth sciences. Tapan employs theoretical, computational, and statistical methods to uncover fundamental relations between geophysical data and rock properties, quantify uncertainty in subsurface models, and address the value of information in decision-making under uncertainty. He has been invited as a keynote speaker and lecturer for short courses on rock physics and geostatistics. He has received several awards including the Karcher Award from the Society of Exploration Geophysicists and the ENI Award for pioneering rock physics innovations. Tapan has also co-authored multiple academic texts that are widely used in universities and industry settings. He plays an active role in mentoring graduate students and teaching advanced undergraduate and graduate courses in his fields of expertise at Stanford University.
Stanford University • Stanford, CA
Co-director of the Stanford Center for Earth Resources Forecasting (SCERF) and involved in the Energy Resources Engineering and Geophysics departments.
Stanford Center Earth Resources Forecasting (SCERF) • Stanford, CA
Co-director for research in forecasting and modeling of natural resources.
Stanford University • Stanford, CA
Focused on research and teaching in the Energy Resources Engineering department.
Stanford University • Stanford, CA
Engaged in advanced research projects.
Stanford University • Stanford, CA
Conducted research in various geophysical projects.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.