CV

Research experience

Postdoc researcher in INRIA Saclay under the supervision of Jakob Ruess
Ph.D in Applied Mathematics, Romain Yvinec & Frédérique Clément
INRIA Saclay & INRAE Centre Val de Loire, 2019-2022
Research internship, Léa Popovic
Concordia University, Montréal, 2018-2019
2nd year of Master internship, Sylvie Méleard & Meriem El Karoui
CMAP, Ecole Polytechnique, April-July 2018

A partition method for bounding continuous-time Markov chain models of general reaction network, 2025.
G. Ballif, L. Pfeiffer & J. Ruess. under review in Mathematical Biosciences.
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Stochastic chemical kinetics of cell fate decision systems: from single cells to populations and back, 2023.
J.Ruess, G. Ballif & C. Aditya. The Journal of Chemical Physics, Vol. 159(18).
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Nonlinear compartmental modeling to monitor ovarian follicle population dynamics on the whole lifespan, 2024.
G. Ballif, F. Clément & R. Yvinec. Journal of Mathematical Biology, Vol. 89(9).
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Averaging of a stochastic slow-fast model for population dynamics: application to the development of ovarian follicles, 2022.
G. Ballif, F. Clément & R. Yvinec. SIAM Journal of Applied Mathematics, Vol. 82(1).
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Modélisation et analyse stochastique multi-échelle en dynamique des populations : application à la population folliculaire ovarienne, 2022 PhD Thesis
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Probability and Statistics seminar, Institut Elie Cartan de Lorraine, Nov. 2024.
Stochastic models for cell population dynamics : application to experimental data
Congrès des Jeunes Chercheurs en Mathématiques Appliqués, Lyon, Oct. 2024.
Stochastic model coupling chemical kinetics and cell population dynamics
Workshop organised by Jakob Ruess, INRIA Saclay, March 2024.
Stochastic model coupling chemical kinetics and cell population dynamics: An extension of the Chemical Master Equation