Lindsey J. Heagy

geophysics, data science, inverse theory, open science, education


I am an Assistant Professor in the Department of Earth, Ocean and Atmospheric Sciences (EOAS) at the University of British Columbia.

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.

I contribute to open source projects including software for computational geophysics and open access educational resources for the geosciences.

Open Science

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Simulation and Parameter Estimation in Geophysics

  • 2013 - Present
  • SimPEG is an open source python package for numerical simulations and gradient based inverse problems in geophysics. We are working to bring all of the geophysical methods into one place and into the open. Join the development on github!

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    Collaborative, open access educational resources for geophysics.

  • 2014 - Present
  • Web-based resources for the fundamentals of geophysics for practicing geoscientists (GPG) and electromagnetic geophysics (EM). These are collaboratively developed resources and include interactive numerical simulations.


    Peer Reviewed Articles

    Werthm{\"{u}}ller, D., Rochlitz, R., Castillo-Reyes, O. & Heagy, L., (2021). Towards an open-source landscape for 3D CSEM modelling. Geophysical Journal International. 10.1093/gji/ggab238

    Kang, S., Oldenburg, D. W. & Heagy, L. J., (2020). Detecting induced polarisation effects in time-domain data: a modelling study using stretched exponentials. Exploration Geophysics. 10.1080/08123985.2019.1690393

    Heagy, L. J., Kang, S., Cockett, R. & Oldenburg, D. W., (2020). Open-source software for simulations and inversions of airborne electromagnetic data. Exploration Geophysics. 10.1080/08123985.2019.1583538

    Oldenburg, D. W., Heagy, L. J., Kang, S. & Cockett, R., (2020). 3D electromagnetic modelling and inversion: a case for open source. Exploration Geophysics. 10.1080/08123985.2019.1580118

    Fournier, D., Heagy, L. J. & Oldenburg, D. W., (2020). Sparse magnetic vector inversion in spherical coordinates. GEOPHYSICS. 10.1190/geo2019-0244.1

    Astic, T., Heagy, L. J. & Oldenburg, D. W., (2020). Petrophysically and geologically guided multi-physics inversion using a dynamic Gaussian mixture model. Geophysical Journal International. 10.1093/gji/ggaa378

    Heagy, L. J. & Oldenburg, D. W., (2019). Direct current resistivity with steel-cased wells. Geophysical Journal International. 10.1093/gji/ggz281

    Heagy, L. J. & Oldenburg, D. W., (2019). Modeling electromagnetics on cylindrical meshes with applications to steel-cased wells. Computers & Geosciences. 10.1016/j.cageo.2018.11.010

    Cockett, R., Heagy, L. J. & Haber, E., (2018). Efficient 3D inversions using the Richards equation. Computers & Geosciences. 10.1016/j.cageo.2018.04.006

    Heagy, L. J., Cockett, R., Kang, S., Rosenkjaer, G. K. & Oldenburg, D. W., (2017). A framework for simulation and inversion in electromagnetics. Computers & Geosciences. 10.1016/j.cageo.2017.06.018

    Caudillo-Mata, L., Haber, E., Heagy, L. & Schwarzbach, C., (2017). A framework for the upscaling of the electrical conductivity in the quasi-static Maxwell's equations. Journal of Computational and Applied Mathematics. 10.1016/

    Cockett, R., Kang, S., Heagy, L. J., Pidlisecky, A. & Oldenburg, D. W., (2015). SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications. Computers & Geosciences. 10.1016/j.cageo.2015.09.015

    Non Peer Reviewed Articles

    Oldenburg, D. W., Heagy, L. J. & Kang, S., (2021). Geophysical electromagnetics: A retrospective, DISC 2017, and a look forward. The Leading Edge. 10.1190/tle40020140.1

    Barba, L. A., Barker, L. J., Blank, D. S., Brown, J., Downey, A. B., George, T., Heagy, L. J., Mandli, K. T., Moore, J. K., Lippert, D. & Others, , (2019). Teaching and Learning with Jupyter. None.

    Barba, L. A., Baz{\'a}n, J., Brown, J., Guimera, R. V., Gymrek, M., Hanna, A., Heagy, L., Huff, K. D., Katz, D. S., Madan, C., Moerman, K., Niemeyer, K., Poulson, J. L., Prins, P., Ram, K., Rokem, A., Smith, A. M., Thiruvathukal, G. K., Thyng, K., Uieda, L., Wilson, B. & Yehudi, Y., (2019). Giving software its due through community-driven review and publication. OSF Preprints. 10.31219/

    Kang, S., Heagy, L. J., Cockett, R. & Oldenburg, D. W., (2017). Exploring nonlinear inversions: A 1D magnetotelluric example. The Leading Edge. 10.1190/tle36080696.1

    Cockett, R., Heagy, L. J. & Oldenburg, D. W., (2016). Pixels and their neighbors: Finite volume. The Leading Edge. 10.1190/tle35080703.1

    Wilt, M., Cuevas, N. & Heagy, L., (2015). Determining proppant and fluid distribution. None.

    Conference Proceedings

    Heagy, L. J., Oldenburg, D. W., P{\'{e}}rez, F. & Beran, L., (2020). Machine learning for the classification of unexploded ordnance (UXO) from electromagnetic data. None. 10.1190/segam2020-3428369.1

    Cholia, S., Heagy, L., Henderson, M., Paine, D., Hays, J., Bianchi, L., Ghoshal, D., Perez, F. & Ramakrishnan, L., (2020). Towards Interactive, Reproducible Analytics at Scale on HPC Systems. None. 10.1109/UrgentHPC51945.2020.00011

    Kang, S., Capriotti, J., Oldenburg, D. W., Heagy, L. J. & Cowan, D., (2020). Open-source geophysical software development for groundwater applications. None. 10.1190/segam2020-3425913.1

    Fan, K., Oldenburg, D. W., Maxwell, M., Cowan, D., Kang, S., Heagy, L. J. & Capriotti, J., (2020). Improving water security in Mon State, Myanmar via geophysical capacity building. None. 10.1190/segam2020-3428432.1

    Heagy, L. J., Cockett, R. & Oldenburg, D. W., (2017). Modular electromagnetic simulations with applications to steel cased wells. None.

    Yang, D., Oldenburg, D. & Heagy, L., (2016). 3D DC resistivity modeling of steel casing for reservoir monitoring using equivalent resistor network. None. 10.1190/segam2016-13868475.1

    Heagy, L. J., Cockett, R., Oldenburg, D. W. & Wilt, M., (2015). Modelling electromagnetic problems in the presence of cased wells. None. 10.1190/segam2015-5931035.1

    Kang, S., Cockett, R., Heagy, L. J. & Oldenburg, D. W., (2015). Moving between dimensions in electromagnetic inversions. None. 10.1190/segam2015-5930379.1

    Heagy, L. J., Cockett, A. R., Oldenburg, D. W., Heagy*, L. J., Cockett, A. R. & Oldenburg, D. W., (2014). Parametrized inversion framework for proppant volume in a hydraulically fractured reservoir. None. 10.1190/segam2014-1639.1

    Heagy, L. J. L., Oldenburg, D. W. D. & Chen, J., (2014). Where does the proppant go? Examining the application of electromagnetic methods for hydraulic fracture characterization. None.

    Caudillo-Mata, L. A., Haber, E., Heagy, L. J., Oldenburg, D. W., Caudillo-Mata, L. A., Haber, E., Heagy, L. J. & Oldenburg, D. W., (2014). Numerical upscaling of electrical conductivity: A problem specific approach to generate coarse-scale models. None. 10.1190/segam2014-1488.1

    Wilt, M., Heagy, L. & Chen, J., (2014). Hydrofracture Mapping and Monitoring with Borehole Electromagnetic (EM) Methods. None. 10.3997/2214-4609.20141174

    Fournier, D., Heagy, L., Corcoran, N., Cowan, D., Devriese, S. G. R., Bild-Enkin, D., Davis, K., Kang, S., Marchant, D., McMillan, M. S., Mitchell, M., Rosenkjar, G., Yang, D. & Oldenburg, D. W., (2014). Multi-EM systems inversion - Towards a common conductivity model for the Tli Kwi Cho complex. None. 10.1190/segam2014-1110.1

    Devriese, S. G. R., Corcoran, N., Cowan, D., Davis, K., Bild-Enkin, D., Fournier, D., Heagy, L., Kang, S., Marchant, D., McMillan, M. S., Mitchell, M., Rosenkjar, G., Yang, D. & Oldenburg, D. W., (2014). Magnetic inversion of three airborne data sets over the Tli Kwi Cho kimberlite complex. None. 10.1190/segam2014-1205.1

    Heagy, L. J. & Oldenburg, D. W., (2013). Investigating the potential of using conductive or permeable proppant particles for hydraulic fracture characterization. None. 10.1190/segam2013-1372.1