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 (46)
comparator8
rstanarm8
scraper8
visualization8
simulation8
r8
r-package8
simulator8
journal7
clinical-trials7
rstan7
html7
open-access7
hyperparameters6
academia6
Programming languages (6)
Github contributions (5)
INCEPTdk/hrqolr
Sep 2023 - Aug 2024
R package for simulating HRQoL trajectories in ICU survivors
Contributions:1 review, 49 PRs, 153 pushes in 11 months
epiben/epiben.github.io
Oct 2022 - Nov 2022
Contributions:12 commits, 21 pushes, 1 branch in 1 month
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