Summary
Moises Mora is a postdoctoral researcher and Ph.D. in applied physics with eight years of experience combining theoretical high-energy phenomenology and scientific Python programming to study lepton-flavor-violating Higgs and Z decays. He develops reproducible research tools—authoring OneLoopLFVHD and a Python port of Spacemath—that leverage numpy, scipy, sympy and matplotlib to streamline loop calculations and analysis. Comfortable in Ubuntu and Jupyter-driven workflows, he brings hands-on coding to traditionally theoretical problems and is a self-directed learner now expanding into machine learning. Based in Puebla, Mexico, he blends deep mathematical rigor with practical software engineering to accelerate physics research and share results as open-source libraries.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Applied physics, Master's degree, Applied physics at Benemerita Universidad Autonoma de Puebla