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Computational materials scientist with a Ph.D. in condensed-matter physics and 7 years of postdoctoral research experience at CASUS–HZDR and Leiden University. I develop — and, just as importantly, evaluate — machine learning interatomic potentials (MLIPs): benchmarking foundation models for materials, building high-throughput DFT/ML workflows, and validating predictions against both ab initio and experimental data.

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