Directrice Adjointe De L'unité MIAT at INRA French National Institute for Agricultural Research
Toulouse, Occitania, France
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Summary
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Nathalie 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.
12 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 III
PhD, Mathematics, PhD, Mathematics at Université Toulouse - Jean Jaurès
Contributions:6 PRs, 53 pushes, 6 branches in 2 years 11 months
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Nathalie Vialaneix - Directrice Adjointe De L'unité MIAT at INRA French National Institute for Agricultural Research