Summary
Christoffer Riis is a Senior Data Scientist at Novo Nordisk with seven years’ experience applying Bayesian machine learning, active learning, and uncertainty estimation to real-world R&D problems in drug discovery. He completed a PhD at DTU focused on the intersection of theoretical and applied machine learning—research spanning causality, active learning, and uncertainty that informs practical model decisions in high-stakes domains. A Fulbright visiting scientist at Columbia and exchange experience at UW–Madison reflect a strong academic network and exposure to diverse ML environments. Comfortable moving models from theory to practice, he blends rigorous research instincts with product-driven experimentation in AI & Digital Innovation.
7 years of coding experience
Exchange student, Machine Learning, Exchange student, Machine Learning at University of Wisconsin-Madison
Visiting Scientist (Fulbright Scholar), Visiting Scientist (Fulbright Scholar) at Columbia University in the City of New York
STX, STX at Gladsaxe Gymnasium
Technical University of Denmark
English, Danish