Leonora Vesterbacka is a Founding Data Scientist with a PhD in particle physics from ETH Zürich and a decade of experience bridging high-energy research and applied machine learning. After six years at CERN and a postdoc at NYU building scalable C++/Python frameworks and PyTorch tools for large-scale simulation reweighting, she transitioned to industry roles where she fine-tuned Sweden’s leading speech-to-text model and led AI R&D at the National Library. At Redpine she now develops influence estimation and data valuation techniques to unlock proprietary datasets for validated AI licensing. Comfortable shipping production-ready models and tooling, she combines deep statistical rigor with practical engineering—an unusual mix honed by training models on supercomputers and deploying GPU-accelerated toolchains. Based in Stockholm, she’s recognized across academia and industry for turning complex data assets into measurable, monetizable intelligence.
10 years of coding experience
10 years of employment as a software developer
High School, Science, High School, Science at Södra Latins Gymnasium
Master's degree, Physics, Master's degree, Physics at Lund University
Doctor of Philosophy - PhD, Particle Physics, Doctor of Philosophy - PhD, Particle Physics at ETH Zürich
Exchange Year, Physics, Exchange Year, Physics at UC Santa Barbara
Contributions:15 pushes, 3 branches in 2 years 4 months
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