Théo Cavignac is a postdoctoral researcher and computational physicist with eight years' experience at the intersection of electronic structure modelling, high-throughput computation and machine learning to discover exotic superconductors. Trained as an engineer in nanosciences and physical matter, he has moved between research and software engineering roles—contributing practical code for scientific infrastructure such as Abinit test systems—so he blends rigorous theory with reproducible computational workflows. Currently based in Bochum, he leads method development to efficiently explore vast material spaces for unconventional superconductivity, combining domain knowledge with automation and data-driven models. Colleagues value his ability to translate complex physics into scalable pipelines that accelerate materials discovery.
8 years of coding experience
Master 2 (M2), ENGINEERING, Validation, Master 2 (M2), ENGINEERING, Validation at Université Claude Bernard Lyon 1
CPGE, PHYSICAL SCIENCES, CPGE, PHYSICAL SCIENCES at Lycée Pierre De Fermat
Diplôme d'ingénieur, Physique de la matière, Nanosciences, Diplôme d'ingénieur, Physique de la matière, Nanosciences at École Centrale de Lyon
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Théo Cavignac - Chercheur Postdoctoral at Ruhr University Bochum