Leo Svenningsson is a data scientist based in Gothenburg with eight years of experience applying magnetic resonance spectroscopy, computation and theory to soft matter and biomedical problems across academia and industry. He holds a PhD in Materials Science from Chalmers and has led projects on lipid assemblies, Parkinson’s disease, acoustic levitation experiments funded by AstraZeneca, and semiconductor-related research collaborations at RISE. Comfortable across experiment design, simulation and data analysis, he translates complex physical measurements into reproducible computational workflows and supervises junior researchers. His GitHub hosts research-linked scripts intended for reuse and citation, reflecting a commitment to open, reproducible science that bridges fundamental research and industrial application.
8 years of coding experience
3 years of employment as a software developer
Doktorsexamen, Materials Science, Doktorsexamen, Materials Science at Chalmers tekniska högskola
Civilingenjör, tekniskt fysik, Tillämpad fysik, Civilingenjör, tekniskt fysik, Tillämpad fysik at Uppsala universitet
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