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Stephane Guindon
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Documents
Current affiliations
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Researcher identifiers
stephane-guindon- Google Scholar : https://scholar.google.co.nz/citations?hl=en&user=kvrvJccAAAAJ&view_op=list_works
- IdRef : 078807824
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0000-0002-3665-8096
Presentation
I design probabilistic models of evolution and algorithms to infer their parameters from the analysis of molecular, fossil and/or spatial data. I created and am still developping the software package \[PhyML\](https://github.com/stephaneguindon/phyml) (for Phylogenetics through Maximum Likelihood) which serves as a basis to implement my research outputs.
Trained as a biologist/statistician, I am working as a CNRS research scientist in the computer science department of the \[LIRMM\](https://www.lirmm.fr/equipes/MAB/) in Montpellier, France. I was also lucky to work for the \[Department of Statistics\](https://www.auckland.ac.nz/en/science/about-the-faculty/department-of-statistics.html) at the University of Auckland between 2007 and 2015.
#### Miscellaneous
Associate editor for Systematic Biology and BMC Evolutionary Biology. Scientific head of the ATGC platform. Co-chair and organizer of the annual conference "Mathematical and Computational Evolution". Served as member of the council for the Society of Systematic Biologists (until 2016). PI on ANR grant GENOSPACE (2016-2021) and Royal Society of New Zealand Marsden grant (2008-2011)
Research domains
Bioinformatics [q-bio.QM]
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E-Biothon : Une plate-forme pour accélérer les recherches en biologie, santé et environnementJournées SUCCES 2013, Groupe d'Interet Scientifique (GIS). FRA., Nov 2013, Paris, France
Conference papers
hal-00927495v1
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Modèles et méthodes pour l’évolution biologiqueiSTE Edition, 330 p., 2022, 9781789480696
Books
lirmm-03766511v1
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Arbres : combinatoire et modèlesModèles et méthodes pour l’évolution biologique, iSTE Edition, pp.7-32, 2022, 9781789480696. ⟨10.51926/ISTE.9069.ch1⟩
Book sections
hal-03485566v1
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Numerical Optimization Techniques in Maximum Likelihood Tree InferenceTandy Warnow. Bioinformatics and Phylogenetics: Seminal Contributions of Bernard Moret, 29, Springer, pp.21-38, 2019, Computational Biology (COBO), 978-3-030-10837-3. ⟨10.1007/978-3-030-10837-3_2⟩
Book sections
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Estimating maximum likelihood phylogenies with PhyMLDavid Posada. Bioinformatics for DNA Sequence Analysis, 537, Springer Protocols, pp.113-137, 2009, Methods in Molecular Biology, ⟨10.1007/978-1-59745-251-9_6⟩
Book sections
lirmm-00511830v1
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Modelling the Variability of Evolutionary ProcessesOlivier Gascuel; M. Steel. Reconstructing Evolution: New Mathematical and Computational Advances, II Models of sequence evolution, pp.65-99, 2007, 0199208220
Book sections
lirmm-00171206v1
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On the connections between the spatial Lambda-Fleming-Viot model and other processes for analysing geo-referenced genetic data2023
Preprints, Working Papers, ...
hal-04289942v1
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SARS-CoV-2 Through the Lens of Computational Biology: How bioinformatics is playing a key role in the study of the virus and its origins[Research Report] CNRS. 2021, pp.1-35
Reports
hal-03170023v1
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Méthodes et algorithmes pour l'approche statistique en phylogénieBio-Informatique, Biologie Systémique [q-bio.QM]. Université Montpellier II - Sciences et Techniques du Languedoc, 2003. Français. ⟨NNT : ⟩
Theses
tel-00843343v1
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