Postdoctoral Researcher at Karlsruhe Institute of Technology (KIT)
Germany
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Summary
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Luigi Sbailò is a postdoctoral researcher and AI-for-science specialist with eight years of experience applying modern machine learning to materials science and physics. He has a strong track record building production-ready tooling—designing and full-stack developing the NOMAD AI toolkit, creating Dockerized ML stacks, and implementing CI/CD for Kubernetes-backed services used by 100+ weekly users. His research blends theory and practice: novel probabilistic models and physics-aware algorithms that produced order-of-magnitude speedups in simulations and MCMC, and state-of-the-art uncertainty quantification for out-of-distribution detection. Comfortable across Python, C/C++ and web technologies, Luigi also teaches and authors extensive tutorials, bridging multidisciplinary teams to make advanced ML accessible to domain scientists.
Doctor of Philosophy - PhD Mathematics and Computer Science department - AI4Science group , Doctor of Philosophy - PhD Mathematics and Computer Science department - AI4Science group at Freie Universität Berlin
Master's degree Physics, Master's degree Physics at Sapienza Università di Roma
Master's degree Materials Science, Master's degree Materials Science at École normale supérieure de Lyon
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Luigi Sbailò - Postdoctoral Researcher at Karlsruhe Institute of Technology (KIT)