Claudio Zeni
Senior Researcher at Microsoft
Cambridge, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolClaudio Zeni is a Senior Researcher at Microsoft Research Cambridge with eight years of experience applying machine learning to materials science and renewable energy challenges. His PhD in computational condensed matter and prior postdoctoral work focused on Gaussian process regression and dimensionality reduction to accelerate atomic-scale simulations and generate fast force fields from ab initio data. He combines strong materials engineering fundamentals (top honors degrees) with practical production experience building Python/SQL pipelines and ML models for anomaly detection and failure prediction. At Microsoft he continues to bridge academic rigor and deployed research, translating complex physical models into scalable ML solutions. Known for moving between theory and production, he has a track record of turning high-fidelity simulation data into efficient surrogate models that enable faster materials discovery.
8 years of coding experience
6 years of employment as a software developer
Master of Science (MSc), Non-equilibrium systems, A, Master of Science (MSc), Non-equilibrium systems, A at King's College LondonMaster's degree, Materials Engineering, 110/110 cum laude, Master's degree, Materials Engineering, 110/110 cum laude at Università degli Studi di Trieste
English, Italian
Github Skills (13)
density-estimation10
topological-data-analysis9
cosmology9
generative-ai9
high-energy-physics8
machine-learning8
foundation-models8
computational-materials-science8
materials-informatics8
python8
data-science7
data-analysis7
computational-physics7
Programming languages (2)
Github contributions (5)
kcl-tscm/mff
Feb 2018 - Feb 2020
A Python package for building nonparametric force fields from machine learning
Contributions:322 commits, 2 PRs, 230 pushes in 1 year 11 months
pythonmachine-learningnonparametricforce-fieldsfields
ClaudioZeni/Raffy
Apr 2021 - Aug 2021
Contributions:5 releases, 37 pushes, 1 branch in 4 months
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