Han Bossier
Statistical Consultant
Ghent Metropolitan Area Belgium
Summary
👤
Senior🎓
Top SchoolHan Bossier is a statistical consultant and PhD-trained researcher based in Ghent with 11 years of experience applying rigorous methods at the intersection of statistics, neuroscience and psychology. He specializes in Monte Carlo and resampling techniques to improve aggregation and replicability of fMRI studies, translating methodological advances into practical guidelines for applied researchers. At Ghent University he combined research, teaching and hands-on consulting—supporting students and academics with study design, analysis and interpretation. Since 2019 he consults at OpenAnalytics, bringing academic rigor to real-world research projects and tools. He is comfortable reading across domains to adapt methods (e.g., clinical trial techniques) to neuroimaging problems, and his work reflects a deep interest in making double-precision data meaningful and actionable.
11 years of coding experience
Master of Science - MS, Statistical Data Analysis, Master of Science - MS, Statistical Data Analysis at Universiteit GentLatijn-Wetenschappen, Latijn-Wetenschappen at Don Bosco KortrijkSumma cum laude, Theoretical and Experimental Psychology, Summa cum laude, Theoretical and Experimental Psychology at Ghent University
Dutch, English, French
Stackoverflow
11reputation
272reached
1answer
2questions
Github Skills (28)
simulate9
r-package9
meta-analysis9
noise9
meta7
open-access6
bids6
ggplot6
neuroimaging6
dt6
shiny6
python6
r6
fabulous5
reader4
Programming languages (3)
Github contributions (5)
NeuroStat/PaperStudyCharCBMA
May 2017 - Dec 2017
Contributions:25 commits, 6 pushes in 7 months
HBossier/ShinyStocks
Mar 2017 - Aug 2020
Contributions:35 pushes, 2 branches in 3 years 6 months
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