Timothée Poisot
Associate Professor
Montreal, Quebec, Canada
Summary
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Senior🎓
Top SchoolTimothée Poisot is an Associate Professor of Quantitative & Computational Ecology at Université de Montréal with 11 years of experience translating ecological questions into data-driven insight using machine learning, deep learning, and advanced research computing. Trained as a parasitologist and epidemiologist (PhD, University of Montpellier), he blends field-rooted ecological expertise with strong programming and network-theory skills to study complex biological interactions. His work spans teaching, reproducible data science, and methodological development in ecological networks and predictive modeling. Based in Montreal, he is known for bridging theoretical ecology and practical computational tools, often applying cutting-edge ML methods to problems rooted in parasite–host and community ecology. An interdisciplinary researcher, he pairs a track record of academic leadership with an appetite for open, reproducible code and collaborative science.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Epidemiology, Doctor of Philosophy - PhD, Epidemiology at University of MontpellierBSc, Cell Biology, Physiology, BSc, Cell Biology, Physiology at Université Évry Paris-SaclayMSc, Immunology, Genetics, MSc, Immunology, Genetics at UVSQ Université de Versailles Saint-Quentin-en-Yvelines
English, French
Stackoverflow
101reputation
357reached
2answers
0questions
Github Skills (200)
atom-editor10
ecology10
api10
julia10
fonts10
stable10
distributions10
force-layout10
typeface10
cytoscapejs10
php10
programming-language10
simulations10
latex10
data-wrangling10
Programming languages (17)
Github contributions (5)
PoisotLab/ms_mangal_synthesis
Jul 2019 - Mar 2021
Contributions:1 release, 3 PRs, 244 pushes in 1 year 8 months
PoisotLab/ms_svd_networks
Sep 2020 - Jun 2021
So apparently ecological networks are really complex - who would've thought!
Contributions:2 reviews, 2 PRs, 124 pushes in 9 months
ecologicalreallythoughtecological-networks
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