Guillaume Chaumet
Biostatisticien
Lyon, Auvergne-Rhône-Alpes, France
Summary
👤
Senior🎓
Top SchoolGuillaume Chaumet is a biostatistician with 10 years of experience applying statistical and machine learning methods to clinical and biological research, currently working at AltraBio in Lyon. Trained with a doctorate in experimental psychology and advanced MOOCs in statistical learning and Python, he blends rigorous experimental design with practical data science skills, primarily in R and secondarily in Python and SAS. His background spans academic research, teaching, and freelance data science projects for healthcare clients like Philips Respironics and APHM, giving him a strong hand in translational medical studies. Comfortable moving between research and applied analytics, he has a track record of delivering reproducible analyses and statistical guidance across multidisciplinary teams. Colleagues value his ability to translate complex methods into actionable results for clinicians and researchers. He often bridges theory and practice, leveraging his research roots to tackle real-world biomedical questions.
10 years of coding experience
2 years of employment as a software developer
MOOC, Analyse multidimmensionnelle des données, 100%, MOOC, Analyse multidimmensionnelle des données, 100% at Agrocampus OuestMOOC, Python, MOOC, Python at INRIADoctorat, Psychologie expérimentale, Doctorat, Psychologie expérimentale at Université de BordeauxMooc, Statistical learning, 85%, Mooc, Statistical learning, 85% at Stanford University
English
Github Skills (72)
r-package9
opencpu9
parser8
parsing8
quarto7
tree-sitter7
stan7
legend7
statistical-models7
multilevel7
bayesian-inference6
rust6
languagetool6
computation6
r6
Programming languages (8)
Github contributions (5)
jfernandz/autocomplete-R
Jun 2016 - Jan 2018
Contributions:23 commits, 2 PRs, 38 pushes in 1 year 7 months
REditorSupport/atom-language-r
Feb 2018 - Jun 2018
R syntax for Atom
Contributions:20 commits, 4 PRs, 21 pushes in 3 months
atom
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