Mrinal K. Sen

Mrinal K. Sen is a Professor and the Jackson Chair in Applied Seismology at the University of Texas at Austin. He is affiliated with the University of Texas Institute for Geophysics (UTIG), where he has served as Interim Director (2017–2018) and Associate Director (2016–2020). His research focuses on seismic wave propagation, full waveform inversion (FWI), uncertainty quantification, and physics-assisted machine learning for geophysical applications.

• Ph.D., University of Hawaii at Manoa
• M.S., Indian Institute of Technology
• B.S., Indian Institute of Technology

Sen's work spans seismic inversion algorithms, finite difference methods, and trans-dimensional MCMC for FWI. He applies machine learning to unconventional reservoir characterization and seismic data analysis, integrating high-performance computing and physics-based constraints. His recent publications highlight hybrid quantum neural networks, Bayesian frameworks, and deep learning for FWI and noise reduction.

Scientific awards include the Virgil Kauffman Gold Medal and Honorary Membership in SEG. His research is supported by collaborations with the Bureau of Economic Geology, Department of Earth and Planetary Sciences, and Center for Planetary Systems Habitability.