Summary
Jeremy Maurer is an Assistant Professor in Geological Sciences and Engineering at Missouri S&T with nine years of experience applying geodetic data, statistical methods, and mathematical modeling to understand and predict earthquake behavior. He combines hands-on InSAR and time-series analysis—work conducted at JPL mapping slow slip events—with novel uncertainty quantification and inverse-problem algorithms developed during his Stanford PhD. Jeremy builds predictive workflows in Python and advises students and research groups on quantitative challenges, translating geophysical insight into societal resilience for seismic hazards. His background spans academia, industry risk modeling, and even teaching and small-business data analysis, reflecting a practical, interdisciplinary approach to problem solving. An uncommon facet of his profile is a sustained interest in how tools from finance and AI intersect with geophysics, which informs both his research and mentoring.
10 years of coding experience
7 years of employment as a software developer
Master of Science (MS), Geological and Earth Sciences/Geosciences, 3.8, Master of Science (MS), Geological and Earth Sciences/Geosciences, 3.8 at Indiana University Bloomington
Master of Arts (M.A.), Exegetical Studies, 3.9, Master of Arts (M.A.), Exegetical Studies, 3.9 at Grace College and Seminary
Doctor of Philosophy (Ph.D.), Geophysics and Seismology, 3.9, Doctor of Philosophy (Ph.D.), Geophysics and Seismology, 3.9 at Stanford University
Haitian Creole, Spanish