Benjamin Kaas-hansen
Radiology Resident at Rigshospitalet
Copenhagen, Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolBenjamin Kaas-hansen is a medical doctor and computational epidemiologist with nine years’ experience combining clinical practice and quantitative research, currently training as a Radiology Resident after a postdoctoral fellowship at Rigshospitalet. He holds an MSc in Epidemiology and Biostatistics and a PhD in Pharmacovigilance and Health Informatics, and has led data science for an adaptive intensive care trial platform while publishing on causal inference, Bayesian methods, and actionable machine learning. Fluent in R and proficient in Python and SQL (learning Julia), he focuses on trial design, data standardisation and visualization to make complex analyses operational for clinicians. Benjamin’s profile blends frontline patient care with rigorous methodological development, and his open research and code (see Google Scholar and GitHub epiben) reflect a commitment to reproducible, impact-oriented science.
9 years of coding experience
5 years of employment as a software developer
Medical Doctor (MD) Medicine, Medical Doctor (MD) Medicine at Aarhus UniversityDoctor of Philosophy - PhD Pharmacovigilance and Health Informatics, Doctor of Philosophy - PhD Pharmacovigilance and Health Informatics at Københavns Universitet - University of CopenhagenMaster of Science (MSc) Epidemiology and Biostatistics, Master of Science (MSc) Epidemiology and Biostatistics at Università Cattolica del Sacro Cuore
Danish, English, Italian
Github Skills (40)
ggplot10
r9
r-package9
bayesian-data-analysis9
rstanarm9
bayesian9
rstan9
stan9
html9
django-admin8
comparator8
open-access8
cran8
revert8
webscraping8
Programming languages (6)
Github contributions (5)
epiben/epiben.github.io
Oct 2022 - Nov 2022
Contributions:12 commits, 21 pushes, 1 branch in 1 month
epiben/humapr
Mar 2021 - Mar 2021
Visualise Topographic Human Data in R
Contributions:1 commit, 14 PRs, 234 pushes in 1 day
r
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