Chris Van Run
Research Software Engineer at Radboudumc
Nijmegen, Gelderland, Netherlands
Summary
👤
Senior🎓
Top SchoolChris Van Run is a Research Software Engineer with 11 years’ experience bridging neuroscience and bioinformatics, currently enabling reproducible research at Radboudumc from Nijmegen. Trained cum laude in Neuroscience and Cognition with additional degrees in Psychobiology and Cognitive AI, he combines deep domain knowledge with practical software skills to build data-analysis tools and maintain lab systems. Previously he supported pediatric oncology research as a bioinformatician and developed experiment code and infrastructure at Utrecht University, demonstrating a track record of translating scientific questions into reliable software. An active contributor to the popular MultiQC project, he has improved core FastQC modules and enhanced path-filtering to make large-scale bioinformatics reporting more robust. Colleagues know him as a diligent, hands-on engineer who pushes for well-executed solutions and enjoys working in collaborative scientific environments. Beyond coding, his background in EEG and synaptic plasticity research gives him uncommon fluency in both experimental design and computational reproducibility.
11 years of coding experience
7 years of employment as a software developer
Master's Degree, Neuroscience and Cognition, Cum Laude, Master's Degree, Neuroscience and Cognition, Cum Laude at University of UtrechtBachelor of Science, Psychobiology, Bachelor of Science, Psychobiology at University of Amsterdam
English, Dutch, French, German
Github Skills (8)
python10
mu10
reporting-services9
data-visualisation9
data-visualization9
analyse9
bioinformatics9
data-visualizations9
Programming languages (6)
Github contributions (5)
MultiQC/MultiQC
Mar 2018 - May 2020
Aggregate results from bioinformatics analyses across many samples into a single report.
Role in this project:
Backend Developer
Backend DeveloperContributions:44 commits, 15 PRs, 30 comments in 2 years 2 months
Contributions summary:Chris primarily contributed to fixing and improving the FastQC module within the MultiQC framework. Their commits focused on correcting the labels and formatting of various plots, specifically addressing issues with the GC content and per-sequence quality plots. Additionally, they modified the base module to incorporate and refine path filtering functionalities, enhancing the flexibility of module operation within the overall system.
multiqcpythonpypianalysesbioconda
princessmaximacenter/MaxMultiQC
Mar 2018 - Apr 2020
Aggregate results from bioinformatics analyses across many samples into a single report.
Contributions:35 pushes, 23 branches, 3 tags in 2 years 2 months
analysesreportgenomicsbioinformaticsaggregate
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.