Benjamin is a hybrid medical doctor and data scientist with an MSc in epidemiology and biostatistics, and a PhD in biostatistics and bioinformatics from University of Copenhagen. The aim of his research is to leverage longitudinal electronic medical records and register data to give actionable answers to substantial questions. His scientific focus areas include (pharmaco)epidemiology and adaptive (platform) trials; causal inference and discovery; Bayesian methods; data standardisation and visualisation; and actionable machine learning. He is R fluent, proficient in Python and SQL, and learning Julia. Has two children with his Italian wife and loves coffee.