Lazaro Alonso is a research-focused computational physicist with 9 years of experience applying mathematical modelling, hybrid modelling, and machine learning to complex systems across academic institutes in Germany and Mexico. Currently a Research Associate at the Max Planck Institute for Biogeochemistry, he combines proficiency in Julia, Python, Fortran and data visualization to tackle problems in time series, networks and nanophysics. His background spans teaching university courses in electromagnetism and nanophysics, postdoctoral work on classical and quantum complex systems, and guest scientist roles applying ML to quantum and image-recognition problems. He holds a PhD in Physics from Universidad de Guadalajara and is active on GitHub promoting hybrid modelling and visualization tools, welcoming suggestions and pull requests. Colleagues value him for bridging rigorous theoretical physics with practical computational toolchains to produce reproducible, research-grade code.
9 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree in Physics, Physics, Bachelor’s Degree in Physics, Physics at Universidad Autónoma de Zacatecas
Master's degree, Physics, Master's degree, Physics at Cinvestav
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Universidad de Guadalajara
Contributions:15 commits, 14 pushes, 1 branch in 3 months
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