Computational Material Scientist.
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Experienced researcher with a demonstrated history of working in material science. Skilled in computational physics and Multi-scale Modeling a well as data science.
Experienced researcher with a demonstrated history of working in material science. Skilled in computational physics and Multi-scale Modeling. Strong research professional with a Master of Science focused in Applied Physics and a PhD in Nanoscience and nanostructures.
PhD. Nanosciences and Nanotechnologies, Jozef Stefan Institute, Ljubljana, Slovenia, Thesis: "Electron phase separation in lattice distorted layered cuprate superconductors".
M.Sc. Applied Physics, CINVESTAV-Mérida, Mérida, Yuc., Mexico, Graduated with a 92.3% average.
Thesis: “Camparative study of covalent and ionic bonding for polaron formation”.
Engineering Physics, University of Yucatán, Mérida, Yuc., Mexico, Graduated with a 86.6% average.
Thesis: Study of the local atomic environment of doped semiconductors CdTe by EXAFS.
Data Science and Machine Learning Developer, Alfatraining, Nürnberg, Deutschland.
