Luz Angélica Caudillo Mata

Luz Angélica Caudillo Mata

Computational Scientist & Community Builder

About

Hi there, I’m Luz Angélica.

Welcome! I’m a seasoned computational scientist and community builder. I’m passionate about driving innovation and developing cutting-edge Geo AI and simulation technology while building collaborative, diverse, and inclusive communities.

Currently, at MDA Space, I lead AI/ML R&D projects and cross-functional teams to incubate novel Geointelligence solutions. I apply techniques in Gen AI, sensor fusion, deep learning, hidden Markov models, and geospatial data analysis for maritime and land monitoring applications.

During my PhD and Industrial Mitacs Elevate Postdoc at the University of British Columbia, I worked with Eldad Haber’s and the Geophysical Inversion Facility research groups, which operate as Industry-Academia consortiums. These experiences exposed me to a wide variety of geophysical electromagnetic applications and provided me with a vibrant multidisciplinary environment to grow as an applied scientist. There I developed expertise in 3D electromagnetic geophysics forward and inverse modeling, particularly in multiscale and upscaling methods for natural resource exploration. In the last year of my postdoc, I explored the applicability of deep learning methods for aquifer resource prospectivity, which motivated me to continue as an industrial researcher in Geo AI.

As a community builder, I’ve led initiatives, events, and programs ranging from local to international scales. My efforts have focused on catalyzing the use of AI in Latin America, bridging scientific research with real-world applications, contributing to provide leadership and management skills for scientist, sharing knowledge and sparking innovative thinking for tech development, and promoting a more inclusive environment for female and Latin American computational and data scientists.

My education spanned top labs across Canada, Mexico, Spain, and the USA, including 7 research internships, at institutions like Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory, the Polytechnic University of Valencia, the Complutense University of Madrid, the University of Texas at Dallas, the Mathematics Research Center, and Computational Geosciences, Inc.

Feel free to explore my site to learn more about me and how I can help you. I am available by email, and welcome collaborations or other opportunities!

Interests
  • Geo Artificial Intelligence
  • Computational Geosciences
  • Research & Innovation
  • Technology & Product Development
  • Community Building & Leadership
Education
  • PhD in Geophysics and Applied Mathematics

    University of British Columbia

  • MSc in Computer Science and Industrial Mathematics

    Centro de Investigación en Matemáticas, A. C.

  • BSc in Computational Mathematics

    Universidad de Guanajuato

Innovations

Curated selection of research and development projects showcasing the breadth of Geo AI and simulation technologies I’ve developed, at various stages of maturity.

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Behaviour Analytics For Time Series of Multi-Sensor Geospatial Data
R&D of an analytical tool suite to integrate machine learning and classical change-detection techniques for monitoring changes and fusing multi-sensor geospatial data.
Deep Learning For Change Detection in Satellite Images
A use case to demonstrate a deep-learning based technology developed for object-based change detection.
Deep Learning For Water Exploration
A use case to demonstrate AI-based technology developed for water exploration.
Multiscale Methods For Geophysical Electromagnetics Modeling
The focus of this investigation is to study how to reduce the computational cost of simulating the behavior of electromagnetic fields in complicated geophysical settings. This type of simulations are crucial to the exploration of buried natural resources (mineral, groundwater and hydrocarbon deposits) using electromagnetic methods.
Upscaling Methods For Geophysical Electromagnetics Modeling
The focus of this investigation is to study how to reduce the computational cost of simulating the behavior of electromagnetic fields in complicated geophysical settings. This type of simulations are crucial to the exploration of buried natural resources (mineral, groundwater and hydrocarbon deposits) using electromagnetic methods.
5ta Fachada: A System For Automating and Optimizing Steel Roof Manufacturing
El proyecto consiste en desarrollar un laboratorio virtual (software) que realiza el análisis, el cálculo y la optimización de estructuras de acero rolado en frío, así como la cuantificación de los materiales utilizados en la construcción de la techumbre completa.

Presentations

Curated selection of talks delivered at premium scientific and industrial forums in the fields of computational science, mathematics, and geoscience.

Un Enfoque de Aprendizaje Profundo Para el Mapeo de Prospección de Acuíferos
A Deep Learning Approach for Aquifer Prospectivity Mapping
Multiscale Modeling and Simulation in Geophysical Electromagnetics

Strategic Initiatives

Showcase of the strategic initiatives I’ve primarily pioneered to foster collaboration and enhance community within the organizations I’ve been part of.

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Leadership & Organizational Experience

Showcase of leadership roles and technical events I’ve led or co-led to foster connections, knowledge sharing, and growth in professional communities.

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