Summary
Martin Beaussart is a Senior Data Scientist with six years of experience building and deploying machine learning solutions, primarily in healthcare, at Volv Global and CHUV. He spans the full ML lifecycle—from exploratory analysis and model development to production deployment—and has driven measurable gains such as improving histopathology classification accuracy from 78% to 93% and a 27× pipeline speedup. Trained at EPFL with NeurIPS-first-author work on personalized federated learning for low-resource healthcare settings, he combines research rigor with production-first model optimization skills in Python and PyTorch. Based in Lausanne, he excels where clinical constraints meet algorithmic innovation, focusing on rare-disease detection and medical imaging.
6 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Ecole polytechnique fédérale de Lausanne
Bachelor's degree, Computer science, Bachelor's degree, Computer science at Université de Genève
French, English