Nathalie Vialaneix
Directrice Adjointe De L'unité MIAT at INRAE
Toulouse, Occitania, France
Summary
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Senior🎓
Top SchoolNathalie Vialaneix is a senior researcher and deputy director at INRAE with 12+ years applying machine learning, statistical learning and data mining to real-world problems across omics, spectrometry, social networks and weather forecasting. She combines deep academic training (PhD in Mathematics) with extensive teaching and research leadership, pioneering work on neural networks, SVMs, graph-based methods and network inference. Her profile blends theoretical rigor and practical implementation—proficient in R and Linux—while driving interdisciplinary collaborations in biostatistics and systems biology. Notably, she has moved between university lecturing and national research roles, giving her a rare mix of pedagogical skill and large-scale research management.
13 years of coding experience
5 years of employment as a software developer
DEA (MS), Applied mathematics, DEA (MS), Applied mathematics at Université Paul Sabatier Toulouse IIIPhD, Mathematics, PhD, Mathematics at Université Toulouse - Jean Jaurès
English
Stackoverflow
49reputation
2kreached
3answers
0questions
Github Skills (27)
imputation10
hierarchical-clustering10
gwas10
missing-data9
transcriptomics9
cran9
genomics9
r8
self-organizing-map6
forecasts6
gdal6
docker6
python6
gcc6
mixed-models4
Programming languages (5)
Github contributions (5)
cran-task-views/Omics
Apr 2023 - Apr 2026
CRAN Task View: Genomics, Proteomics, Metabolomics, Transcriptomics, and Other Omics
Contributions:3 PRs, 29 pushes, 1 branch in 3 years
transcriptomicscrangenomicsmetabolomicsomics
cran-task-views/MissingData
Apr 2022 - Apr 2026
CRAN Task View: Missing Data
Contributions:7 PRs, 59 pushes, 8 branches in 4 years
imputationcrantask-viewsmissing-datarstats
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