R&D in material sciences and AI
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I am a Materials Science Engineer with an M.Sc. and Ph.D. in Engineering Sciences.
I have a solid background in applied mathematics and computer science.
Specialized in data analysis, statistics, and developing predictive models using artificial intelligence techniques, specifically neural networks and support vector regression (SVR). My expertise extends to the creation of new optimization algorithms,
including both single and multi-objective, as well as bilevel optimization.
Moreover, I am a highly skilled professional in the field of mathematical modeling,
computational simulation and the development of custom C++ code using mesh-free methods to solve partial differential equations.
Center for Research in Applied Mathematics
(CIMA)
Jan 2022 - Dec 2022
Areas of responsibility: Development of new multi-objective optimization algorithms and gradient approximation techniques, [1, 2, 3].
Center for Research and Advanced Studies of the
National Polytechnic Institute (CINVESTAV)
Jan 2023 - Dec 2023
Areas of responsibility: Optimization of thermal cycle parameters for the processing of advanced automotive steels, as well as their microstructural and mechanical analysis, [4, 5, 6].
PhD in Engineering Sciences 2020 - 2024
National Technological Institute of Mexico
Thesis: Optimization of the microstructure and mechanical properties of advanced
TRIP steels using metaheuristic methods and artificial intelligence.
Master of Science in Materials Science 2018 - 2020
National Technological Institute of Mexico
Thesis: Optimization of heat treatments for processing advanced TRIP steels applied in the automotive industry.
Bachelor of Engineering in Materials 2012 - 2017
National Technological Institute of Mexico
Thesis: Determination of CCT diagrams for advanced steels applied in the automotive industry.
