Summary
Severin Elvatun is a Senior Data Scientist with 9 years of experience building applied ML and AI solutions across healthcare and industry, currently driving data initiatives at Capgemini from Oslo. He holds a PhD in Machine Learning from the University of Oslo and blends rigorous research (predictive modelling, online learning, time-to-event analysis) with pragmatic ML engineering and Python development. Severin has led projects at the Ambr Institute and the Cancer Registry of Norway focused on personalized medicine, federated learning and synthetic data to enable secure, privacy-preserving access to clinical data. He is comfortable moving models into production, having worked on recommender systems, computer vision, and backend development for ML services. Known for pairing product-minded project management with hands-on coding, he also brings lab and process-optimization experience from early roles in biomedical and environmental settings. An unconventional strength is his background spanning chemical engineering, teaching, and frontline research, which helps him translate complex domain problems into deployable AI solutions.
9 years of coding experience
1 year of employment as a software developer
University of Oslo
Bachelor of Engineering - BE, Chemical and Biotechnology Engineering, A, Bachelor of Engineering - BE, Chemical and Biotechnology Engineering, A at Oslo and Akershus University College
Master of Science - MS, Data Science, A, Master of Science - MS, Data Science, A at NMBU - Norwegian University of Life Sciences
English