Roberto Pérez is a Senior Data Scientist with 11 years of experience specializing in machine learning applications to reduce energy consumption in buildings. Based in the Greater Stockholm area, he blends strong computational physics training (MSc, Stockholm University) with practical product and leadership experience at Myrspoven AB, where he has progressed from Data Scientist to interim CTO and now Senior Data Scientist. He has a research background—authoring a computational physics master’s thesis and presenting at APS meetings—and contributed to open-source scientific software like PlasmaPy by refactoring physics calculations and improving tests and documentation. Comfortable moving models from research to production, he pairs domain knowledge in materials and plasma physics with hands-on backend coding and algorithm development. Notably, he maintains a concise public CV and code footprint that reveal a thoughtful balance of academic rigor and pragmatic engineering.
11 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at Universidad de La Laguna
Master's degree, Computational Physics, Master's degree, Computational Physics at Stockholm University
An open source Python package for plasma research and education
Role in this project:
Back-end Developer & Physicist
Contributions:21 commits, 3 PRs, 18 comments in 1 day
Contributions summary:Roberto primarily contributed to the `plasmapy/plasmapy` repository by modifying existing code related to plasma physics calculations. Their work involved adjusting the order of parameters in the `Coulomb_logarithm` function and ensuring consistency throughout the codebase. They also corrected examples and documentation to reflect these changes. Furthermore, the user refactored and consolidated thermal speed functions, updating tests and associated dependencies.
Contributions:39 pushes, 8 branches, 1 comment in 1 year 7 months
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