Benjamin Skov Kaas-Hansen
Benjamin is a hybrid medical doctor and data scientist with an MSc in epidemiology and biostatistics, currently pursuing a PhD in clinical pharmacology and medical informatics at University of Copenhagen. The aim of his research is to leverage longitudinal electronic medical records and registry data to give actionable answers to substantial pharmacovigilance questions. He is interested in causal inference, Bayesian methods, machine learning, and data visualisation and standardisation; R fluent, proficient in Python and SQL, and learning Julia.
- Pharmacovigilance (focus on polypharmacy)
- Data and text mining in electronic patient records
- Applying Bayesian and machine learning data analytic tools in epidemiology
- Data standardisation