Seogi Kang
Assistant Professor at University of Manitoba
Winnipeg, Manitoba, Canada
Summary
👤
Senior🎓
Top SchoolSeogi Kang is an Assistant Professor and geophysicist with 12 years of experience developing non-invasive subsurface imaging techniques for groundwater and mining applications. He holds a PhD in Geophysics from UBC and has progressed from postdoctoral research to a research scientist role at Stanford before joining the University of Manitoba. Seogi brings deep expertise in electromagnetic (EM) modeling and inversion, contributing core code and bug fixes to the widely used open-source SimPEG project. He combines academic research with software engineering, focusing on sensor data, sensitivity calculations, and practical solutions to geoscience problems. Beyond publications, he’s a co-creator of open educational resources (GeoSci.xyz), reflecting a commitment to reproducible science and community teaching. Colleagues rely on him for translating complex EM theory into robust, usable tools for field-scale investigations.
12 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Geophysics, Doctor of Philosophy - PhD, Geophysics at The University of British ColumbiaMaster of Science - MS, Geophysics and Seismology, 4.5/4.5, Master of Science - MS, Geophysics and Seismology, 4.5/4.5 at Hanyang University
Stackoverflow
33reputation
356reached
0answers
1question
Github Skills (8)
geophysics10
python10
linear-algebra9
sparse-matrix8
data-analysis7
scipy6
numpy6
git5
Programming languages (6)
Github contributions (5)
simpeg/simpeg
Jul 2013 - Aug 2022
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
Role in this project:
Backend Developer
Backend DeveloperContributions:25 reviews, 897 commits, 45 PRs in 9 years 2 months
Contributions summary:Seogi's commits primarily involve merging branches, fixing bugs, and modifying code related to an electromagnetic modeling and inversion package in geophysics. The user has made changes to the core classes of the simulation, indicating responsibilities in designing or improving the core code for electromagnetic models, including sensitivity calculations and processing. They also contributed to adding code to the survey and receiver classes.
inversionpythonfinite-volumesimulationparameter-estimation
simpeg-research/earthscope-mt-course
Aug 2022 - Oct 2022
Contributions:65 commits, 85 pushes, 1 comment in 2 months
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