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Stephane Guindon
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Documents
Affiliations actuelles
- 1100627
Identifiants chercheurs
- stephane-guindon
- Google Scholar : https://scholar.google.co.nz/citations?hl=en&user=kvrvJccAAAAJ&view_op=list_works
- IdRef : 078807824
- 0000-0002-3665-8096
Présentation
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)
Domaines de recherche
Bio-informatique [q-bio.QM]
Publications
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Accounting for ambiguity in ancestral sequence reconstructionBioinformatics, 2019, 35 (21), pp.4290-4297. ⟨10.1093/bioinformatics/btz249⟩
Article dans une revue
pasteur-02404399v1
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