Benjamin Skov Kaas-Hansen

Benjamin Skov Kaas-Hansen

Postdoc (MD, MSc, PhD)

Dept. of Intensive Care, Copenhagen University Hospital - Rigshospitalet, Denmark

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.


  • Adaptive (platform) trial design
  • Causal inference and discovery
  • Bayesian methods
  • Data standardisation and visualisation
  • Actionable machine learning


  • PhD Biostatistics and Bioinformatiocs, 2022

    University of Copenhagen (Denmark)

  • MSc Epidemiology and Biostatistics, 2017

    Università Cattolica del Sacro Cuore (Rome, Italy)

  • Medical doctor (MD), 2015

    Aarhus University (Denmark)

  • BSc Medical Sciences, 2011

    Aarhus University (Denmark)

Main publications

This list features first-authored and particularly interesting studies. See Google Scholar for full list.

Language-agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records

We sought to craft a drug safety signalling pipeline associating latent information in clinical free text with exposures to single …

Using machine learning to identify patients at high risk of inappropriate drug dosing in periods with renal dysfunction

Purpose: Dosing of renally cleared drugs in patients with kidney failure often deviates from clinical guidelines, so we sought to …

Drug interactions in hospital prescriptions in Denmark: Prevalence and associations with adverse outcomes

Purpose While the beneficial effects of medications are numerous, drug–drug interactions may lead to adverse drug reactions that are …


Kunstig intelligens og bivirkninger

Bayesiansk analyse af RCT

Curriculum vitae

Summative CV