Albert Alonso is a computational physicist and postdoctoral researcher with eight years of experience bridging high-performance scientific computing, large-scale machine learning, and biophysics research. Trained at the Niels Bohr Institute and holding a PhD in Biophysics from the University of Copenhagen, he has taught HPC and ML courses, contributed to fundamental cellular-behavior research during a visiting stint at Imperial College, and shipped production desktop applications earlier in his career. Now splitting time between academia and co-founding phaige, he combines rigorous simulation and numerical methods expertise with practical software engineering practices like version control and test-driven development. Colleagues describe him as equally comfortable optimizing HPC workflows and prototyping ML-driven data science pipelines, with a knack for translating complex physics problems into performant, maintainable code.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Biophysics, Doctor of Philosophy - PhD, Biophysics at Københavns Universitet - University of Copenhagen
Bachelor's degree, Physics, Bachelor's degree, Physics at Universitat de Barcelona
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Contributions:4 PRs, 15 pushes, 2 branches in 1 year 10 months
pytorchpythonjitgpunumpy
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.