Milan Wiedemann
Postdoctoral Researcher at Bennett Institute for Applied Data Science
Oxford, England, United Kingdom
Summary
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Senior🎓
Top SchoolMilan Wiedemann is a postdoctoral researcher and data scientist based in Oxford with nine years' experience applying open-source tools to make clinical data more understandable and usable. He holds a PhD in Experimental Psychology from the University of Oxford and blends rigorous research methods with practical data engineering developed across roles in academia and the NHS. At the Bennett Institute he focuses on reproducible workflows and tooling that lower the barrier to working with sensitive clinical datasets. His background in clinical and experimental psychology informs a human-centered approach to data pipelines, model evaluation, and interpretation. Milan’s career path—from teaching and research positions in Germany to applied data science in UK healthcare—gives him a rare combination of domain knowledge and hands-on implementation skill. He is particularly interested in building transparent, open-source solutions that make complex clinical analyses accessible to multidisciplinary teams.
9 years of coding experience
9 years of employment as a software developer
Master of Science (M.Sc.), Clinical Psychology, Master of Science (M.Sc.), Clinical Psychology at Technical University of BraunschweigDoctor of Philosophy - PhD, Experimental Psychology, Doctor of Philosophy - PhD, Experimental Psychology at University of OxfordBachelor of Science (BSc), Psychology, Bachelor of Science (BSc), Psychology at University of GroningenBachelor of Science (BSc), Psychology, Bachelor of Science (BSc), Psychology at Technische Universität Braunschweig
German, English
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (77)
r-language10
change-detection10
r-package10
longitudinal-data10
golem8
tidyverse8
testing8
tidymodels8
exploratory-data-analysis8
unit-testing8
missing-data8
sports-data7
shiny7
tidy7
python7
Programming languages (7)
Github contributions (5)
milanwiedemann/suddengains
Feb 2018 - Jan 2023
An R package for identifying sudden gains in longitudinal data
Contributions:10 releases, 489 commits, 15 PRs in 5 years
r-packagegainsrstatssudden-gainsexploratory-data-analysis
opensafely/cis-pop-validation-ehrql
Nov 2022 - Nov 2023
ehrQL (databuilder) translation of cohort-extractor study https://github.com/opensafely/CIS-pop-validation study
Contributions:13 reviews, 28 PRs, 43 pushes in 1 year
opensafelyvalidationpoptranslationcis
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