Jose Garrido
Senior Researcher at Microsoft
Hoofddorp, North Holland, Netherlands
Summary
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Senior🎓
Top SchoolJose Garrido is a Senior Researcher at Microsoft with eight years of experience building AI-driven computational methods to explore chemical space and accelerate discovery in catalysis, energy conversion, and molecular electronics. His work spans open-source Bayesian optimization platforms for multi-objective reaction optimization developed at Princeton to surrogate ML models for high-temperature electrochemistry and materials search from postdoctoral roles at Stanford and Columbia. Trained as a theoretical chemist (PhD, University of St Andrews) with a background in quantum mechanical modeling and materials science, he blends rigorous first-principles insight with practical AI tooling. Based in the Netherlands, he is notable for translating complex surface-science theory into deployable algorithms that speed experimental iteration, and for championing reproducible, open-source approaches to autonomous chemical discovery.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Chemistry, Bachelor's degree, Chemistry at Universitat d'AlacantDoctor of Philosophy - PhD, Theoretical Chemistry, Doctor of Philosophy - PhD, Theoretical Chemistry at University of St Andrews
Catalan, Spanish, English
Github Skills (8)
materials-informatics9
catalyst9
computational-chemistry9
catalysis9
bayesian8
python8
machine-learning7
experimental-design1
Programming languages (2)
Github contributions (5)
jagarridotorres/CatLearn
Apr 2018 - Apr 2019
An atomistic machine learning environment for catalysis
Contributions:5 PRs, 17 pushes, 25 branches in 1 year
machine-learning
doyle-lab-ucla/edboplus
Aug 2022 - Sep 2022
EDBO+. Bayesian reaction optimization as a tool for chemical synthesis.
Contributions:8 commits, 3 pushes in 1 month
bayesian
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