Toti E Larson

Toti E Larson is a Research Associate Professor and Principal Investigator of the Mudrock Systems Research Laboratory (MSRL) at the University of Texas at Austin's Bureau of Economic Geology and Jackson School of Geosciences. He also serves as a Lecturer in the Department of Earth and Planetary Sciences. His work focuses on integrating geochemistry, geology, and machine learning to develop predictive subsurface characterization models for energy applications. Larson leads the MSRL consortium, collaborating with energy companies to address subsurface geology challenges. He developed CorePy, an open-source Python package for subsurface data analysis, emphasizing chemofacies classification through XRF data and machine learning.

Research interests include subsurface geology, geochemical modeling, and the application of AI to geological data integration. His studies span sedimentary systems, shale gas reservoirs, and environmental impacts of geological processes. Larson's work has contributed to understanding Paleozoic to Cretaceous stratigraphy, basin-scale redox dynamics, and CO2 sequestration risks. He has advised students on projects related to core characterization, fault zone analysis, and geochemical fingerprinting of shale plays.

Larson's lab, MSRL, focuses on mudrock systems critical for energy resources and geological carbon storage. His research integrates field data, laboratory analysis, and computational tools to bridge core-scale observations with basin-scale models. Notable contributions include machine learning workflows for reservoir prediction and novel methods for tracing methane migration pathways in aquifers.