Currently, SBG (Stochastic and Biology Group) gathers:
- 3 professors and senior researchers
- 7 assistant professors and junior resarchers
- an always changing number of phD students and post-docs
Some of these members have a primary affiliation with the SBG team and a secondary affiliation with another team. Those who are secondarily affiliated to SBG are called associated members below.
Permanent members of SBG
| Nom | Bureau | Fonction | Équipe |
|---|---|---|---|
| Bonnet Anna | JUSSIEU 1525-2-12 | Maître.sse de conférences | mav , stat |
| Gribkova Svetlana | 5006 | Maître.sse de conférences | stat , mav |
| Matias Catherine | JUSSIEU 1626-2-11 | Directeur.rice de recherche | mav , stat |
| Nuel Gregory | JUSSIEU 1626-1-22 | Directeur.rice de recherche | mav , stat |
| Parsons Todd | JUSSIEU 1626-1-18 | Chargé.e de recherche | mav |
| Robin Stéphane | JUSSIEU 1525-2-21 | Professeur.e | mav , stat |
| Roquain Etienne | JUSSIEU 1516-2-13 | Maître.sse de conférences | stat , mav |
| Sansonnet Laure | JUSSIEU 1516-2-14 | Maître.sse de conférences | mav , stat |
| Thieullen Michèle | JUSSIEU 1626-2-04 | Maître.sse de conférences | mav |
| Villers Fanny | JUSSIEU 1516-2-13 | Maître.sse de conférences | stat , mav |
Grégory Nuel (DR CNRS), HDR — head of group
Grégory Nuel is an expert in probabilistic graphical models (e.g. HMMs, Bayesian networks) and computational statistics (e.g. EM algorithm, penalized likelihood). He is interested in a wide range of biomedical applications: tropical disease, bioaccoustics, genetic epidemiology, bioinformatics, clinical research, systems biology, and cancer genetics. Co-head of group since 2018.
Anna Bonnet (MC Sorbonne Université)
Anna Bonnet is assistant professor at Sorbonne Université. She is interested in developing statistical methods to analyze high-dimensional genetic data. Her fields of research include point process models, in particular Hawkes processes, and statistical inference in quantitative genetics.
Charlotte Dion-Blanc (MC Sorbonne Université) — associated member
Charlotte Dion-Blanc is a statistician and assistant professor at Sorbonne Université. She develops supervised learning and nonparametric methods for stochastic processes, with applications in the fields of neurosciences and ecology.
Svetlana Gribkova (MC Univ Paris Cité) — associated member
Svetlana Gribkova is a statistician and assistant professor at Université Paris Cité. After a PHD in the field of survival analysis, she had done a post-doctorate in statistical analysis of single cell RNA-Seq data with applications to cancer research. Her actual research mainly focuses on statistical analysis of high dimensional genomic data and applications in biology and medicine.
Catherine Matias (DR CNRS), HDR
Catherine Matias is a statistician working at the interface between statistical modeling and life sciences. In particular, she has worked on the statistical analysis of graphs with a focus on ecological networks. Starting 2018, she is partly on leave as deputy director of the national scientific institute of mathematics and their interactions.
Todd Parsons (CR CNRS)
Todd Parsons studies stochastic population models and associated methods of inference with diverse applications in evolutionary ecology, population genetics, game theory, epidemiology, and phylogenetics.
Stéphane Robin (PR Sorbonne Université), HDR
Stéphane Robin is a statistician working at the interface between statistical modeling and life sciences, with a focus on ecology. Part of his research is devoted to the inference of models with latent variables. Such models include heterogeneous random graph models and joint species distribution models. He is also interested in change-point detection, along sequences and trees.
Etienne Roquain (MC Sorbonne Université), HDR — associated member
Etienne Roquain has defended his PhD at INRA Jouy-en-Josas and Université Paris Sud in 2007 and is Maître de conférences since 2008 at Université Pierre et Marie Curie (now Sorbonne Université), where he defended his HdR in 2015. His main research field is multiple testing and high dimensional statistics.
Michèle Thieullen (MC Sorbonne Université), HDR
Michèle Thieullen is a probabilist with expertise in stochastic modeling for Neuroscience. Up to now her research has focused on the role of ion channels in neural excitability through Piecewise Deterministic Markov Processes in finite and infinite dimension. MT is also interested in numerics and estimation problems for these models.
Fanny Villers (MC Sorbonne Université) — associated member
Fanny Villers is a statistician and assistant professor at Sorbonne Université. During her PhD in INRA, she worked on statistical models usefull for analysing transcriptomics data. Her main research field is high dimensional statistics and in particular the analysis of network data.
Non permanent members of SBG
| Nom | Bureau | Fonction | Équipe |
|---|---|---|---|
| Boutin Remi | Post-Doctorant.e | mav | |
| Bricout Barbara | Doctorant.e | mav | |
| Chaussard Alexandre | JUSSIEU 1525-209 | Doctorant.e | mav |
| Ducrot Lucas | JUSSIEU 1626-1-31 | Doctorant.e | mav |
| Martinez-Herrera Miguel | JUSSIEU 1525-2-23 | Doctorant.e | mav |
Lucas Ducrot (PhD student).
PhD started in 2021, under the supervision of G. Nuel (SBG, LPSM) and in collaboration with P. Benusiglio (APHP, Sorbonne University, Paris, France).
LD is working on clinical Models for the Genetics of the Li-Fraumeni Syndrome (started in 2021). Funding (3 years): ISCD, Sorbonne University
Bastien Chassagnol (PhD student).
PhD started in 2020 under the supervision G. Nuel (SBG, LPSM), in collaboration with P.-H. Wuillemin (LIP6, Sorbonne University, Paris, France) and
M. Guedj (Servier, France). BC is working on changepoint models for detecting Gene x Environment interactions in Cancer.
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