Luz Mata
Sr. Applied AI Scientist Tech Lead at MDA Space
Vancouver, British Columbia, Canada
Summary
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Senior🎓
Top SchoolLuz Mata is a Sr. Applied AI Scientist and Tech Lead with 12 years of experience building GeoAI and simulation technologies for maritime and land monitoring. She combines a strong academic foundation (PhD in Geophysics and Applied Mathematics) with hands-on engineering—contributing core functionality like the TensorMesh implementation to the widely used simpeg geophysics Python package. At MDA Space she leads cross-functional teams to translate deep learning, sensor fusion, and Bayesian time-series research into product-ready geointelligence solutions while founding a Machine Learning System Design community of practice. Her earlier R&D work advanced multiscale electromagnetic modeling and upscaling for natural resource exploration, resulting in peer-reviewed publications, open-source contributions, and commercialized projects. Luz is also a prolific community builder who has launched programs that connect industry and academia across Mexico and Latin America and champions leadership and inclusion for female and Latin American data scientists. A former national-level competitive chess player, she brings strategic thinking and long-term planning to complex technical and organizational challenges.
12 years of coding experience
17 years of employment as a software developer
Master of Science - MS Computer Science and Industrial Mathematics, Master of Science - MS Computer Science and Industrial Mathematics at Centro de Investigación en Matemáticas (CIMAT), A. C.Bachelor of Science - BS Computational Mathematics, Bachelor of Science - BS Computational Mathematics at Universidad de GuanajuatoDoctor of Philosophy - PhD Geophysics and Applied Mathematics, Doctor of Philosophy - PhD Geophysics and Applied Mathematics at The University of British Columbia
Spanish, English
Github Skills (8)
simulations10
simulation10
geophysics10
python10
modeling10
scientific-computing9
optimization9
partial-differential-equations8
Programming languages (4)
Github contributions (5)
simpeg/simpeg
Jul 2013 - Jul 2013
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:
Back-end Developer
Back-end DeveloperContributions:6 commits in 20 days
Contributions summary:Luz's primary contribution focused on developing and implementing core functionalities for the `simpeg` Python package, specifically the `TensorMesh` class. They implemented the class with basic visualization features, accommodating 1, 2, and 3 dimensions and providing nodal, cell centers, and staggered grids. The user also worked on defining conductivity models including block, two layered and scalar conductivity models. The work demonstrates a strong understanding of numerical methods, computational geometry and the underlying physics of geophysical applications as used in the package.
inversionpythonfinite-volumesimulationparameter-estimation
lacaudillomata/lacaudillomata.github.io
Jun 2022 - Oct 2022
Contributions:37 commits in 3 months
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