LAB
UMR 7625: Ecology & Evolution
CNRS-ENS-AgroParisTech-UPMC
Unit: Eco-Evolutionary Mathematics
46 rue d’Ulm
75005 Paris, France
+33 1 44 32 36 97
THESIS
Supervisors:
& Pr Amaury LAMBERT
Title: «Stochastic modeling in epidemiology with applications to influenza»
Keywords:
-Markov processes
-Demographic stochasticity
-State-space models
-Statistical inference
-Influenza
-Numerical simulations
-Linear noise approximation
-Moment closure approximations
WORKSHOPS
2011
-Dynamical Systems Applied to Biology and Natural Sciences (Lisbon, Fev. 2011)
Talk: «Estimating variability in stochastic nonlineat epidemiological models: an application to the transition from invasion to long-term persistence of emerging pathogens.» PDF
2010
-COMMISCO: Conférence Modélisation Mathématique et Informatique des Systèmes Complexes (Bondy, Oct. 2010)
Talk: «Analyse de séries temporelles par maximisation de la vraissemblance: étude et sélection de modèle.» PDF
-Ecology, Epidemiology and Evolution: Biological Processes and Artificial Analogues
(Warwick, Sept. 2010)
Talk: «Rapid Influenza Reinfection: Likely Mechanisms and Potential Impacts during a Pandemic.» PDF
-Journées MAS
(Bordeaux, Sept. 2010)
Talk: «Time Series Analysis via Maximum Likelihood. From theory to practice.» PDF
-CMPD3: Computational and Mathematical Population Dynamics
(Bordeaux, June 2010)
Talk: «Gradual & Punctuated Antigenic Drift for Influenza Evolution. A quantitative approach based on time series analysis.» PDF
-Chaos and dynamics in biological networks
(Cargèse May 2010)
Talk: «Assessing the use of Phenomenological Transmission Functions to Model Disease Spread on Contact Networks.» PDF
2009
-Multiply Structured Populations in Biology
(Bath July 2009)
Talk: «Disentangling Between Different Mechanisms for Explaining Observed Two-Wave Influenza Epidemics.» PDF
2008
-R0 and Related Concepts: Methods and Illustrations
(Paris Oct. 2008)
Poster: «Limitations of the van Kampen Approach for Stochastic Epidemiological Models.» PDF
PUBLICATIONS
A. Camacho, S. Ballesteros, A.L. Graham, F. Carrat, O. Ratmann & B. Cazelles 2011.
Explaining rapid reinfections in multiple-wave influenza outbreaks: Tristan da Cunha 1971 epidemic as a case study. Proceedings of the Royal Society B (in press). ➥ PDF Supp. Material
S. Ballesteros, L. Stone, A. Camacho, E. Vergu & B. Cazelles.
Fundamental irregularity of regular seasonal influenza epidemics: from theory to observation (in revision).
A. Camacho, S. Ballesteros, A. Lambert & B. Cazelles.
Assessing the use of the linear noise approximation for nonlinear stochastic epidemiological models (in preparation).
I am a Ph.D student in Applied Mathematics, under the
supervision of Bernard Cazelles and Amaury Lambert,
at the Biological department of the Ecole Normale
Supérieure in Paris.
Our aim is to developp:
1) analytical tools for studying stochastic
epidemiological models without resorting to
computationally intensive numerical simulations.
2) statistical tools for interfacing theoretical models
with epidemiological data in order to quantitatively
evaluate the biological mechanisms underlying the
spread of influenza among humans.
TEACHING
-Calcul vectoriel et matriciel (LM 121, L1, UPMC):
tutorials, 64 hours/year from 2008 to 2011
-Ecologie et dynamique des populations structurées (STRU, M2, ENS) : seminar, 3 hours/year from 2009 to 2011
EDUCATION
Since 2008: Ph.D student in Applied Mathematics
2007-2008: Master’s Degree in Mathematics & Applications; specialization in Mathematical Modeling.
Graduated Summa Cum Laude from Univ. Paris 6 UPMC.
2003-2008: Engineer from Institut National des Sciences Appliquées (INSA) de Lyon; specialization in Bioinformatic & Modeling.