José Luna is a Senior Researcher at Microsoft Research Cambridge with 11 years of experience at the intersection of statistics, machine learning and drug discovery. He holds a PhD in Biomedicine (cum laude) and top-ranked degrees in Statistics from Universitat Pompeu Fabra, Universitat Politècnica de Catalunya and Universidad de Sevilla, reflecting consistently outstanding academic performance. His work blends rigorous probabilistic modeling and explainable AI—developed during a postdoc at ETH Zürich—with practical contributions to accelerating drug discovery via gradient-based methods. Based in Cambridge, he maintains an active research profile (Google Scholar) and open-source presence on GitHub, translating novel inference algorithms into tools that bridge academia and industry.
11 years of coding experience
4 years of employment as a software developer
University of Seville
Doctor of Philosophy - PhD, Biomedicine, Doctor of Philosophy - PhD, Biomedicine at Universitat Pompeu Fabra
Inference code for scalable emulation of protein equilibrium ensembles with generative deep learning
Contributions:10 releases, 30 reviews, 31 PRs in 1 month
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José Luna - Senior Researcher at Microsoft Research Cambridge