Summary
Oscar Gentilhomme is a mechanical engineer and visiting graduate researcher with a decade of multidisciplinary experience spanning robotics, computer vision, medical imaging, and embedded systems. Currently conducting research at Harvard Medical School on self-supervised learning for breast cancer detection, he has previously built large-scale SLAM datasets with ETH Zurich and Meta, developed ML pipelines for biomedical image segmentation, and led a river-cleanup robotics project from prototype to competition prize. His background blends hands-on hardware work (hydrofoils, drones, IoT sensors) with applied machine learning and field deployments, reflecting a practical systems mindset. Fluent across academic and industry research settings, he seeks roles that combine technical depth with social or environmental impact. An avid traveler and performer, he often brings creative, cross-disciplinary approaches to engineering problems.
10 years of coding experience
3 years of employment as a software developer
KTH Royal Institute of Technology
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at Ecole polytechnique fédérale de Lausanne
Master's degree, Mechanical Engineering, Master's degree, Mechanical Engineering at ETH Zürich