Summary
Renato Bellotti is a Senior Data Scientist with nine years of experience applying machine learning and optimization to medical physics, focused on automating proton radiotherapy treatment planning. He completed advanced studies at ETH Zürich and earned a PhD-caliber research track at Paul Scherrer Institut, where he developed state-of-the-art Julia and Python packages, a novel spot-weight optimization algorithm for IMPT, and a machine learning method for beam angle selection. Now at the Swiss Armed Forces he bridges research-grade algorithms and production deployments, shipping ML models and interactive dashboards for operational use. Renato thrives at the intersection of mathematics, software engineering and clinical collaboration, working in multidisciplinary teams to translate complex models into actionable treatment tools. Less obvious: he pairs deep numerical methods with pragmatic software practices, ensuring research prototypes mature into reproducible, deployable systems.
9 years of coding experience
Master of Science - MS, Computational Science and Engineering, Master of Science - MS, Computational Science and Engineering at ETH Zürich