Currently, SBG (Stochastic and Biology Group) gathers:
- 5 professors and senior researchers
- 9 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 |
| Duval Céline | 15-25-217 | Professeur.e | stat , mav |
| Gribkova Svetlana | 5006 | Maître.sse de conférences | mav , stat |
| Lévy-Leduc Céline | 5045 | Professeur.e | 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 |
| Ouadah Sarah | Maître.sse de conférences | stat , mav | |
| 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 | stat , mav |
| Thieullen Michèle | JUSSIEU 1626-2-04 | Maître.sse de conférences | mav |
| Villers Fanny | JUSSIEU 1516-2-13 | Maître.sse de conférences | stat , mav |
Anna Bonnet (MC Sorbonne Univ)
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 Univ), HDR — 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.
Céline Duval (PR Sorbonne Univ), HDR — associated member
Céline Duval is a statistician and professor at Sorbonne Université. She is interested in modeling inhibition in biological neuronal networks using Hawkes processes. Part of her research focuses on geometrical measures for the study of excursion sets of random fields having application in medical imagery.
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.
Céline Lévy-Leduc (PR Univ Paris Cité), HDR — associated member
Céline Lévy-Leduc is a statistician and professor at Université Paris Cité. She was professor of statistics in AgroParisTech from 2012 to 2024. She developed several statistical approaches for analyzing data coming from molecular biology: variable selection approaches in different high dimensional models and change-point estimation methods. More generally, she is interested in designing statistical methods for answering questions coming from life sciences.
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. She was the leader of the project EcoNet. From January 2018 to December 2021, she has been partly on leave as deputy director of the national scientific institute of mathematics and their interactions.
Grégory Nuel (DR CNRS), HDR
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.
Sarah Ouadah (Lecturer Sorbonne Univ, on leave from AgroParisTech)
Sarah Ouadah is a statistician and lecturer at Sorbonne Université. She works at the interface between statistical modeling and life/social sciences. Part of her research is devoted to characterizing the topology of random graphs (e.g. with goodness-of-fit tests, embedding, nodes clustering) for analyzing social and ecological networks. She also develops predictive models for (discrete) biological and ecological data exhibiting dependency structures and sparsity.
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 Univ), 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 Univ), 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.
Laure Sansonnet (Lecturer Sorbonne Univ, on leave from AgroParisTech)
Laure Sansonnet is a statistician, Maîtresse de conférences at AgroParisTech since 2014 , on secondment at Sorbonne Université. She develops statistical methods, with theoretical guarantees and numerical performance, for analyzing data coming from life sciences in particular. Part of her research focuses on high dimension, regularized methods, variable selection, generalized linear models, and Hawkes processes.
Michèle Thieullen (MC Sorbonne Univ), HDR — head of group
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 Univ) — 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 |
|---|---|---|---|
| Arts Lucie | Doctorant.e | stat , mav | |
| Boutin Remi | Post-Doctorant.e | mav | |
| Bricout Barbara | Doctorant.e | mav | |
| Chaussard Alexandre | JUSSIEU 1525-209 | Doctorant.e | mav , stat |
| Ducrot Lucas | JUSSIEU 1626-1-31 | Doctorant.e | mav |
| Gomes-Rodrigues Anny-Kerrollayny | Post-Doctorant.e | mav | |
| Liu Bixuan | Doctorant.e | mav , stat | |
| Torngren Patryk | Doctorant.e | mav |
Patryk Torngren (PhD student). PhD started in 2024, under the supervision of Grégory Nuel (SGB, LPSM). PT is funded by the REWIND Digital Health PEPR on longitudinal health data. He works on the INLA approach in the context of longitudinal data with applications in health (wastewater data from the Obépine network) and in seismology (data from the European Artémis project).
Lucie Arts (PhD student). PhD started in 2024, under the supervision of C. Matias (SBG, LPSM). LA is working on consistent model selection for random graphs models.
Barbara Bricout (PhD student). Started in 2023, under the supervision of S. Robin (SBG, LPSM) and Sophie Donnet (INRAE, Saclay). BB is working on imputation models for biodiversity and ecological science.
Alexandre Chaussard (PhD student). Started in 2023, under the supervision of A. Bonnet (SBG, LPSM), Harry Sokol (APHP) and Sylvain Le Corff (SDA, LPSM). AC is working on latent data models and variational methods to analyze gut microbiota.
Elhacène Djaout (PhD student). PhD started in 2022, under the supervision of G. Nuel (SGB, LPSM) and Vincent Maréchal (SU). ED is working on the project Obépine.
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
Anny Kerollayny Gomes Rodrigues (Visiting PhD student).
PhD student from Universidade de São Paulo (USP), under the supervision of Florencia Leonardi (USP) and visiting C. Matias (SBG, LPSM). AKGR is working on model selection in multivariate Gaussian mixtures.
Bixuan Liu (PhD student).
PhD started in 2024, under the supervision of S. Robin (SBG, LPSM) and Viet Chi Tran (Univ. Gustave Eiffel). BL is working on identifiability and inference in Lokta-Volterra and auto-regressive models.
Miguel Martinez Herrera (PhD student).
PhD started in 2022, under the supervision of A. Bonnet (SBG, LPSM) and Maxime Sangnier (SDA, LPSM). MMH is working on Hawkes processes modeling with application to neuronal activity.
Lucas Prates (Visiting PhD student).
PhD student from Universidade de São Paulo (USP), under the supervision of Florencia Leonardi (USP) and visiting C. Matias (SBG, LPSM). LP is working on h-likelihood and latent space models.
Luiza Tuler Veloso (Visiting PhD student).
PhD student from Universidade de São Paulo (USP), under the supervision of Florencia Leonardi (USP) and visiting C. Matias (SBG, LPSM). LTV is working on community detection in hypergraphs.