Overall Objectives
Research Program
- Mixed-effect models and statistical approaches
- Development of a simulation platform
- Mathematical and computational modeling
- From hybrid dynamics to continuum mechanics
- Structured partial differential equations
- Delay differential equations
- Multi-scale modeling of the immune response
- Dynamical network inference from single-cell data
- Leukemia modeling
New Software and Platforms
New Results
- Mathematical models describing the interaction between cancer and immune cells in the lymph node
- WASABI: a dynamic iterative framework for gene regulatory network inference
- A multiscale model of platelet-fibrin thrombus growth in the flow
- Mathematical modeling of platelet production
- Nonlinear analysis of a model for yeast cell communication
- Alzheimer’s disease and prion: An in vitro mathematical model
- Calibration, Selection and Identifiability Analysis of a Mathematical Model of the in vitro Erythropoiesis in Normal and Perturbed Contexts
- Model-based assessment of the role of uneven partitioning of molecular content on heterogeneity and regulation of differentiation in CD8 T-cell immune responses
- Spatial lymphocyte dynamics in lymph nodes predicts the cytotoxic T-Cell frequency needed for HIV infection control
- Drugs modulating stochastic gene expression affect the erythroid differentiation process
- Stochastic gene expression with a multistate promoter: breaking down exact distributions
- Cell generation dynamics underlying naive T-cell homeostasis in adult humans
- Erythroid differentiation displays a peak of energy consumption concomitant with glycolytic metabolism rearrangements
Partnerships and Cooperations
Bibliography
Overall Objectives
Research Program
- Mixed-effect models and statistical approaches
- Development of a simulation platform
- Mathematical and computational modeling
- From hybrid dynamics to continuum mechanics
- Structured partial differential equations
- Delay differential equations
- Multi-scale modeling of the immune response
- Dynamical network inference from single-cell data
- Leukemia modeling
New Software and Platforms
New Results
- Mathematical models describing the interaction between cancer and immune cells in the lymph node
- WASABI: a dynamic iterative framework for gene regulatory network inference
- A multiscale model of platelet-fibrin thrombus growth in the flow
- Mathematical modeling of platelet production
- Nonlinear analysis of a model for yeast cell communication
- Alzheimer’s disease and prion: An in vitro mathematical model
- Calibration, Selection and Identifiability Analysis of a Mathematical Model of the in vitro Erythropoiesis in Normal and Perturbed Contexts
- Model-based assessment of the role of uneven partitioning of molecular content on heterogeneity and regulation of differentiation in CD8 T-cell immune responses
- Spatial lymphocyte dynamics in lymph nodes predicts the cytotoxic T-Cell frequency needed for HIV infection control
- Drugs modulating stochastic gene expression affect the erythroid differentiation process
- Stochastic gene expression with a multistate promoter: breaking down exact distributions
- Cell generation dynamics underlying naive T-cell homeostasis in adult humans
- Erythroid differentiation displays a peak of energy consumption concomitant with glycolytic metabolism rearrangements
Partnerships and Cooperations
Bibliography
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