My research interests are in data science and inverse theory applied to questions in resource exploration, groundwater, and environmental applications. My research group primarily focuses on machine learning and inversion methods with geophysical data including electrical and electromagnetic data as well as potential fields (gravity and magnetic data) to characterize the subsurface. Many projects involve extensive interaction with industry partners.