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Dr. Lindsey Heagy is an Assistant Professor at the University of British Columbia, specializing in applied geophysics and inverse theory. Her research group focuses on utilizing machine learning methodologies to analyze geophysical data, including electrical, electromagnetic, and potential field data, which are critical for characterizing subsurface features. The main applications of her work revolve around mineral exploration and near-surface geophysics. Dr. Heagy's projects often involve collaboration with industry partners to conduct geophysical inversions that utilize various data types to ascertain geologic and physical property information. Notably, her research addresses the large-scale inversions of airborne natural source electromagnetic data and involves innovative techniques for detecting and classifying unexploded ordnance (UXO) using machine learning to enhance conventional inverse methods. Committed to Open Science, her group actively contributes to the development of open-source software for simulating and inverting geophysical data, providing valuable resources for education in geophysics. Dr. Heagy is open to supervising prospective graduate students and postdoctoral researchers, inviting them to share their research interests via email.
Offers course-only and thesis routes. Focus areas include philosophy of science, mind, ethics, and Asian philosophy.