Providing expertise in electrical and electromagnetic geophysics (particularly 3D magnetotellurics and DC/IP) to the mineral exploration industry. Specializing in the effective and meaningful use of geophysical data to solve geologic problems.• Assisting clients in the design, permitting, execution, processing, and inversion of electrical and electromagnetic geophysical surveys.• Working with clients on development of geophysical forward simulation and inversion codes customized to their needs.• Aiding clients in drawing meaningful geologic conclusions from electrical and electromagnetic geophysical results.

• Performed and interpreted 3D inversions of magnetotelluric data at a range of spatial scales in order to provide pre-competitive data products for prospective critical mineral systems• Synthesized geophysical results with other geoscientific and geospatial datasets in order to estimate subsurface rock properties and to formulate coherent 3D/4D mineral-system models• Performed geoelectric hazard (space weather) analyses in order to provide government and industry partners with data products for use in critical infrastructure impact assessments• Developed cutting-edge 3D lithospheric electrical conductivity model for the United States in order to support USGS geoelectric hazards and mineral systems research (https://doi.org/10.1130/2022.1220(13))• Performed geostatistical and machine-learning analyses of mineral deposit distributions in the Colorado "Mineral Belt" in order to evaluate the significance of spatial patterns• Planned, permitted, and acquired multi-year magnetotelluric survey in central Colorado; QA/QCed, processed, and inverted all acquired data• Guest lecturer on magnetotellurics, induced polarization, DC resistivity at Colorado School of Mines• Guest instructor for magnetotellurics and DC/IP field methods at Colorado School of Mines

• Developed and applied software for long-term frequency domain processing of geomagnetic field data from a multi-continent network of sensors• Utilized analysis results to characterize noise sources and to apprise client of sensor stability, data quality, and anomalous physical signals worth further analysis

Geochemical and geospatial data management and analysis, software development, relational database development and management, modeling support, report writing