معرفی
Lindsey J. Heagy is an Assistant Professor in the Department of Earth, Ocean, and Atmospheric Sciences at the University of British Columbia. Her research focuses on geophysics, data science, and inverse theory, with applications in resource exploration, groundwater, and environmental studies. She leads a research group developing machine learning and inversion methods for geophysical data analysis.
- Key affiliations: University of British Columbia (Department of Earth, Ocean, and Atmospheric Sciences)
Her work emphasizes open science, contributing to projects like SimPEG (an open-source Python package for geophysical simulations) and GeoSci.xyz (collaborative educational resources for geophysics). She advocates for reproducible workflows and open-source software in the geosciences.
Research interests include electromagnetic methods, inverse problem solutions, and interdisciplinary applications of data science. Notable contributions include advancements in 3D electromagnetic modeling, UXO detection via machine learning, and open-source tools for airborne and ground-based geophysical data analysis.
Publications span peer-reviewed journals like Geophysical Journal International and Exploration Geophysics, focusing on numerical methods, inversion techniques, and open-source software development. Her work bridges computational geophysics with real-world challenges in environmental monitoring and resource management.
She collaborates on projects like SimPEG and GeoSci.xyz, fostering community-driven advancements in geophysical education and research. Her efforts in capacity building include geophysical training in regions like Myanmar to improve water security.
