Daniel Stekhoven
Member FAIR Board at Swiss Reproducibility Network
Zürich Metropolitan Area Switzerland
Summary
👤
Senior🎓
Top SchoolDaniel Stekhoven is a leader in clinical bioinformatics and reproducible biomedical data stewardship, currently serving as Managing Director of NEXUS Personalized Health and a Member of ETH Zurich’s FAIR Board. With a PhD in Mathematics (Statistics) from ETH and over a decade of experience bridging academia, consultancy (founder/CEO of Quantik AG), and core facility operations, he specializes in turning complex research workflows into robust, FAIR-compliant pipelines and tools for translational medicine. He has a strong track record in biostatistics, data curation and automated lab-data lifecycles, and has shepherded clinical-grade data practices since founding ETH’s Clinical Bioinformatics Unit in 2014. Active in national reproducibility efforts and scientific advisory roles, he combines rigorous quantitative training with pragmatic service delivery to accelerate research-to-clinic translation. An interesting aside: his background in military intelligence analysis informed his systematic approach to data synthesis and information flow in large collaborative projects.
10 years of coding experience
13 years of employment as a software developer
Master of Science (M.Sc.) Mathematics, Master of Science (M.Sc.) Mathematics at University of ZurichDoctor of Philosophy (PhD) Mathematics and Statistics, Doctor of Philosophy (PhD) Mathematics and Statistics at ETH ZürichBachelor's degree Mathematics, Bachelor's degree Mathematics at University of Basel
French, English, French, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
missing-data10
feature-selection10
imputation10
r-language10
variable-selection10
predictive-modeling10
meta-analysis10
statistical-inference9
hypothesis-testing9
statistics8
r-programming7
coordinates2
biology2
bioinformatics2
computational-biology2
Programming languages (4)
Github contributions (5)
stekhoven/missForest
Jul 2015 - Apr 2022
missForest is a nonparametric, mixed-type imputation method for basically any type of data for the statistical software R.
Contributions:21 commits, 4 PRs, 19 pushes in 6 years 9 months
statisticsimputationhypothesis-testingr-programmingtype-of
ETH-NEXUS/aebc2_website
Jun 2022 - Aug 2024
Contributions:11 pushes in 2 years 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.