- Presentation
- HAL publications
- Activity reports
BIGS Research team
Biology, genetics and statistics
- Leader : Samy Tindel
- Type : Project team
- Research center(s) : Nancy
- Field : Computational Sciences for Biology, Medicine and the Environment
- Theme : Observation, Modeling, and Control for Life Sciences
- Université de Lorraine, CNRS, Institut Elie Cartan Nancy (IECN) (UMR7502)
Team presentation
The BIGS (Biology, Genetics and Statistics) team is focused on various aspects of Probability and Statistics, with applications in Biology, Genetics and Medicine in mind. Specifically, we try to tackle several issues in high dimensional data analysis, and study some probabilistic models (noisy equations, Markov chains, MCMC algorithms) closely related to relevant situations in life sciences. Our applications to real world problem include photodynamic therapies, data analysis for longitudinal studies in medicine, fetal biometry or bacteriophage systems.Research themes
Online data analysis, local regression, estimation for complex biological systems, Markovian models for tumor growth, SDEs for bacteriophage systems, MCMC methods for light transport in tissues.International and industrial relations
Collaboration with Universitat Autonoma de Barcelona (bacteriophage systems) and Harvard (estimation for complex biological systems).Keywords: Statistics Probability theory Biology
Research teams of the same theme :
- BANG - Nonlinear Analysis for Biology and Geophysical flows
- BIOCORE - Biological control of artificial ecosystems
- CARMEN - Modélisation et calculs pour l'électrophysiologie cardiaque
- DRACULA - Multi-scale modelling of cell dynamics : application to hematopoiesis
- MACS - Modeling, analysis and control in computational structural dynamics
- MASAIE - Tools and models of nonlinear control theory for epidemiology and immunology
- MODEMIC - Modelling and Optimisation of the Dynamics of Ecosystems with MICro-organisme
- NUMED - Numerical Medicine
- REO - Numerical simulation of biological flows
- SISYPHE - SIgnals and SYstems in PHysiology & Engineering
- VIRTUAL PLANTS - Modeling plant morphogenesis at different scales, from genes to phenotype
Contact
Team leader
Samy Tindel
Tel.: +33 3 8 3 68 4
Secretariat
Tel.: +33 3 8 3 68 4
Inria
Inria.fr
Inria Channel

Find out more
See also