Mélanie PRAGUE

Mélanie PRAGUE

Bordeaux Population Health, 146 Rue Léo Saignat, 33000 Bordeaux
Head of SISTM team
Phone +33 5 57 57 45 31
mail

Since 2016, I am permanent researcher at inria Bordeaux Sud-Ouest Center, in the team SISTM (common with Inserm in Bordeaux Population Health-U1219 and Université de Bordeaux). I am in charge of the "mechanistic modeling" axis of research for SISTM. Since June 2024, I am the head of SISTM team.

My work is devoted to the development and the application of statistical methods for the analysis of health data. The methods we develop are generic in the sense that they can be applied to other fields than medicine and various medical concerns. We particularly focused on the application of our methods to infectious diseases such as the Human Immunodeficiency Virus (HIV), Ebola, NIPAH virus and more recently SARS-CoV-2. My goals are :

  1. to improve the understanding of within-host dynamics in infectious diseases and to develop new quantitative methods to model the increasing amount of dynamical data collected about patient biomarkers;
  2. to propose advanced methods for optimal allocation of treatment strategies, in the field of personalized medicine;
  3. to better understand spread in populations of epidemics using between-host models and dedicated trials designs.


Key words


  • Mathematics - Statistics and probability: Bayesian; Causality; Control theory; Dynamical model; GEE; Ordinary Differential Equation; Maximum Likelihood; Mediation analysis; Missing data; Network; Semi-parametric.
  • Public Health - Data and statistics: Biomarkers; Biostatistics; High-dimensional data; Personalized medicine; Pharmacometrics; Randomization; Immunology ; Transcriptomic data; Trials design; Vaccine;HIV; Ebola; Nipah; SARS-CoV-2.

Activities Linked with research

    My skills can be summarized as follows:
  • Mechanistic Dynamical modeling
    • Inverse problems
    • System vaccinology
    • In silico trials
  • Evaluation of intervention effect for infectious diseases
    • Causality
    • Missing data
    • Network science
  • Applied expertize
    • HIV/AIDS
    • Ebola virus
    • Nipah virus
    • SARS-CoV-2

Expertizing activities


    International level
  • Associate Editor for The International journal of Biostatistics (2018-)
  • Grant Expertise : Millennium Science Initiative (Chile) (2017,2019, 2021,2023), ANR-DFG German Research Foundation (France-Germany)(2018), Swiss National Science Foundation (Suisse) (2020-now), Member of Scientific Director board of the COVID Immunity Task Force (Canada) (2021 -2023).
  • Journal reviewer :
    • Journals In Statistics And Biostatistics: Biometrics (since 2014); JRSS-B (since 2016); Statistical Methods in Medical research (since 2017); JRSSA Interaction (since 2019); Journal of royal society open science (since 2021)
    • Journals In Computational Biology: Plos One (since 2014); IEEE/ ACM Computational biology and BioInformatics (since 2010); elife (since 2021); CPT PsP (since 2022); plos Computational Biology (since 2023)
    • Journals In Applied Mathematics To Medicine: Statistics in medicine (2013); Trials (since 2016); Society of clinical trials (2016); Statistical Science (since 2019)
  • PHD Reviewer : Steven SANCHE, University of Montreal.
  • Scientific Commitee for conference : 4th WORKSHOP ON VIRAL DYNAMICS Paris (Oct. 21-23 2019).
    National level
  • Evaluation commitee : Agence Nationale De La Recherche (ANR) CES45 (2023-now), Agence Nationale De La Recherche sur le sida, les hépatites virales et les maladies émergentes (ANRS MIE) CSS13 "Clinical research" (2019 - now),
  • Societé Francaise de Statistiques (SFdS) Jury Award Marie-Jeanne Laurent-Duhamel (2022 - now),
  • Agence Nationale de la Recherche sur le sida et hépatites virales (ANRS) CSS3 "Clinical research on HIV and comorbidities” (2016 - 2019),
  • Research coordination : Member of the board Action Coordonnée Modélisation (ANRS-MIE) (2021 - now),
  • Co-leader with J. Guedj of the working group WITHIN-HOST MODELING, Action Coordonnée Modélisation (ANRS-MIE) (2021 - now).
  • Scientific Commitee for conference : JDS French statistical society annual conference Nancy (3-7 June 2019).
  • Statistics In Health – personalized medicine, CIMI, Toulouse (Jan. 11-12 2018).
  • Grant Expertise :ANR COVID RA Covid-19 (2021).
  • PHD : Defense (5), Follow-up Committee (10).

Administrative activities


    International level
  • Organisation Commitee for conference: 7th WORKSHOP ON VIRAL DYNAMICS (Head) (2025),
  • 4th WORKSHOP ON VIRAL DYNAMICS in collaboration with Jeremy Guedj, Creation of the conference (Oct 2019).
    National level
  • Communication Group at French Statistical Society (SFdS) Member (2016-2018), Presidente (2018-2021), Elected member of the Board of YOUNG FRENCH STATISTICIANS at French statistical (2016 - 2020).
  • Organisation Commitee for conference: JOURNÉE DE LA STATISTIQUE 2024, 2nd WORKSHOP AC MODÉLISATION ANRS MIE 2022 ( Head), WORKSHOP ON WITHIN-HOST DYNAMICS 2022 (30% international),
  • Creation of SCIENTIFIC LUNCHES AT JDS (2017-2019), this type of satellite event still exists at the conference.
  • Hiring committee (3).
    Local level
  • Commission INRIA de développement technologique (2016 - 2022)
  • Commission INRIA emploi-recherche (2017 - 2023),
  • Hiring committee (3)

Teaching

Actually, amount of hours spent teaching is approximatively 50 hours a year at all levels.
2016 - present
Previously, I was recipient of a teaching assistant grant. Amount of hours spent teaching is approximatively 64 hours a year.
2010 - 2013

List of lectures
Specific content can be sent upon request by mail.
  • Master Level:
    • ENSAI (2016 - now) : Missing data (16h).
    • Biostatistics University Bordeaux (2016 - now): MMultiple imputation(8h)
    • Polytechnique MSV Modélisation Science du vivant (2021 - 2023): Mixed- effects models for population approaches (28h).
    • Biostatistics University Bordeaux (2019 - 2022): Introduction to dynamical models for epidemics (6h).
    • ENSAI (2016 - 2018): Epidemiology and article critical reading (14h).
    • ENSAI (2017 - 2020): Introduction to Research (5h).
    • Pharmacology, University Bordeaux (2017 - 2019): Design experiment (18h)
    • Stochastic Processes, University Bordeaux (2017 - 2019): Bayesian Stat (7h)
  • University Diploma & Summer School
    • DU Méthodes statistiques de régression en épidémiologie (2017 - now): Linear regression and analysis of variance, (12h).
    • ISPED Summer school (2017- now): Initiation to R. Continuous education. ( 4h to 14h)
    • PhD module Modeling life science (2018): Methods for ODE/PDE/SDE, (coordination 35h, lecture 7h)
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PHD Supervision and Mentoring


PHD
Auriane Gabaut , co-supervision with Cécile Proust-Lima (Inserm Bordeaux Population health). Methods for latent variable models in mechanistic models.
expected 2026
Adrien Mitard , co-supervision with Jeremie Guedj (Inserm IAME, Paris). Accelerating Vaccine Development Using Pre-Clinical Data.
expected 2026
Iris Ganser , supervised by David Buckeridge (Mc Gills University) and Rodolphe Thiébaut (Inserm Bordeaux Population health). I am Co-Mentor. Effectiveness of non-pharmaceutical interventions and vaccines during the COVID-19 pandemic.
expected 2024
Marie Alexandre, co-supervision with R. Thiébaut. Mechanistic modeling and optimization of vaccine response in infectious diseases : Application to HIV, Ebola, SARS-CoV-2. Postdoctoral fellow in the inria SISTM team.
2022
Laura Villain, supervised by Daniel Commenges and Rodolphe Thiébaut (Inserm Bordeaux Population health). I was Co-Mentor. Analyse et modélisation de l’effet des injections d’interleukine 7 sur les patients infectés par le VIH. Scientist consultant in industry (NovaDiscovery then esqLABS GmbH).
2018
Patrick Staples, Supervised by JP Onnela at Harvard T.H. Chan School of public health. Collaboration 2nd and partially 3rd paper. Networks and Statistical Approaches in Biological Contexts. VP of Data Science at Alto Neuroscience USA.
2018

Postdoctoral fellows and research scientist supervision
Quentin Clairon , New tool for estimation of parameters in non-linear mixed-effects models based on optimal control (EBOVAC 3 Project). Researcher ISFP at inria within the SISTM team
2019-2022
Marie Alexandre , Statistical analysis and design of pre-clinical (NHP and rodents) and clinical trials promoted by the Vaccine Research institute.
2022-now
Maria Prieto, She worked on the modeling of the COVID19 epidemics in France and particularly helped in estimating the effect of non-pharmaceutical interventions of the epidemics dynamics. She is now a "Head of projects" at Octopia.
9/2020-9/2021
Irene Balleli Modeling response to Ebola vaccines. Researcher ISFP at inria Sophia Antipolis.
2017- 2020
Laura Villain Joint modeling of dynamical biomarkers and high-dimensional data. Biomodeler at esqLabs GmbH.
2018- 2019

Research Engineer
Myrtille Richard , Engineer within the NIPAH Project. To propose a pipeline for in silico trials. She is now continuing her curriculum of Public Health Medical Doctor.
03/2022-12/2022
Dan Dutartre , Detached by Inria to work within SISTM team. He designed a connector between R and Monolix that was particularly useful to share our codes during the pandemics. He is now on a long-term contract as research engineer at Inria.
5/2020-11/2020

Internships
Marie COLIN (ENSAI 2ieme année) "Mechanistic modeling of antibodies response using transcriptomics data". This work lead to one international conference talk. Presently ENSAI 3ieme année.
06/2023-08/2023
Junior JUMBONG (ENSAI 2ieme année) Analysis of determinants of dynamical vaccinati"on response using mechanistic models". Presently ENSAI 3ieme année.
06/2023-08/2023
Fanny MOREAU (Licence 3 MIASCHG Bordeaux) "Analysis of determinants of vaccination response at 12 months using regression models". Presently ENSAI 1ère année.
05/2023-07/2023
Auriane GABAUT (Master 2 Modélisation science du vivant Polytechnique Paris) "Model building in nonlinear models in presence of a high number of covariates". This work lead to one national conference talk. Presently PHD student, Université de Bordeaux (SISTM Team)
4/2023-9/2023
Marie POUPELIN (Master 1 Biostatistiques Université bordeaux) « Humoralresponse to ebola vaccination in prevac-Up trial ». This work helped with the data management of one submitted paper. Statistical Presently Statistical Programmer at Cytel
04/2022-07/2022
Florian ROBERT(Master 2 Paris Sorbonne Data science) « Model building strategies in NLME » Presently PHD student, Université de Bordeaux.
06/2022-10/2022
Marie-Laure CHARPIGNON (PhD Candidate MIT) "Evaluation of the impact of non-pharmaceutical interventions on SARS-CoV-2 transmission rate at the department level in France". This work led to a publication in Journal. Presently .
06/2021-10/2021
Carole VIGNALS (Master 2 epidémiologie Université bordeaux) « Relâchement des gestes barrière en France à l’ère de la vaccination contre la COVID-19 ». This work led to the one international publication and public outreach and one national. Presently infectious disease doctor.
04/2021-10/2021
Abdelghani NEHAUS (Master 2 Bioinformatique Université Bordeaux) “Optimization of intervention strategies in epidemic models using deep reinforcement learning techniques“ Presently PHD student Université de Bordeaux.
4/2021-08/2021
Guillaume SOTTON(Master 2 Bioinformatique Université Bordeaux) “ Joint fragility model based on differential equations: analysis of marker kinetics and survival time ” Presently Develop^per ELSAN.
4/2019-08/2019
Clément LEMOIGNE(Mathmeca 2nd year)"Comparaison de méthodes de construction de modèles et de sélection de variables pour les modèles dynamiques en santé. " Presently Développeur Full Stack Vendredi.
07/2019-09/2019
Marie ALEXANDRE(Master 2 Centrale Marseille) “PKPD modeling in pre-clinical development of T cell bispecific immunotherapy”. This was a co-supervision with ndustry (Nicolas Frances, Roche, Basel). Presently Post-doc Université de Bordeaux SISTM.
4/2018–8/2018
Marie ALEXANDRE(Master 1 Centrale Marseille) “Modèle Vaccinal pour Ebola Dynamique des anticorps et de la réponse cellulaire” Presently Post-doc Université de Bordeaux SISTM.
6/2017–8/2017
Paul TAUZIA - Utilisation de la déconvolution cellulaire pour détecter des différences d’expression génique - Master 2 MSS Université de Bordeaux.
4/2017-0/2017
Augusta ALPHONSE(Master 2 in Vaccinology Creteil) "Proof of concept for an automated gating tool applied to flow cytometry data from a HIV therapeutic vaccine trial".
4/2017-9/2017
Damien Fossat-Cercler (Master 2 in Statistics and ENSAI 3rd year)." Dynamical modeling of pharmacoepidemiology in observational studies: optimization of methods for numerical integration" Presently Data Analyst Senior at Minalea.
4/2013-9/2013
Ana Jarne(Master 2 in Biostatistics, Université de Pau). "Modeling of T-lymphocytes dynamics after InterLeukine-7 injections in HIV infected patients: introduction of a feedback loop"- Presently Senior Statistician Horiana
4/2012-09/2012
Sybille Masse(ENSAI 2nd year). "Understanding the Effect of Interleukin-7 with mathematical models" Presently Statistical Scientist at IQVIA.
06/2011-09/2011

Publications

HAL
DBLP
Google Scholar

Preprints

  • On the design of trials for the evaluation of HIV viral setpoint during analytical antiretroviral treatment interruptions, Alexandre M., Prague M., Lelièvre JD., Lhomme E., Richert L., Wittkop L., Lévy Y. and Thiébaut R.
  • Comparative assessment of methodologies to estimate NPI effectiveness in the COVID-19 context: A simulation study, Ganser I., Paireau J., Buckeridge D., Cauchemez S. , Thiébaut R. and Prague M.
  • Antibody response determinants to rVSV-ZEBOV-GP and Ad26.ZEBOV/MVA-BN-Filo Ebola vaccines: a modelling study from the PREVAC randomized trial, Valayer S., Alexandre M., Prague M., Beayogui AH., ..., Richert L. and Lhomme E.
  • Viral rebound kinetics following single and combination immunotherapy for HIV/SIV, Prague M., Gerold J., Balelli I., Pasin C., Li J., Barouch D., Whitney J., and Hill A.
  • Effects of interventions and optimal strategies in the stochastic system approach to causality, Commenges D. and Prague M.

Softwares

  • R package "Rsmlx" is a library that allows to interface optimization algorithms with models of epidemic propagation. Epidemiological models are wrapped in OpenAI Gym interfaces, making them readily compatible with state-of-the-art optimization algorithms.
    documentation and download
  • Python Toolboox "EpidemiOptim" is a library that allows to interface optimization algorithms with models of epidemic propagation. Epidemiological models are wrapped in OpenAI Gym interfaces, making them readily compatible with state-of-the-art optimization algorithms.
    documentation and download
    Dissemination paper
  • R package "SEIRcovid19FR" is an R package for multi-level inference of epidemic dynamics applied to COVID-19 in France..
    documentation and download
  • CRTgeeDR: an R package for Doubly Robust Generalized Estimating Equations Estimations in Cluster Randomized Trials with missing data.
    The package allows to estimate the intervention effect in cluster randomized trials (CRTs). It implements a semi-parametric GEE estimator accounting for missing data with Inverse probability weighting (IPW) and for imbalance in covariates with augmentation (AUG). The estimator IPW-AUG-GEE is Doubly robust (DR). Importantly, We exhibited that in CRTs most of the available softwares use an implementation of weights that lead to a bias in estimation if a non-independence working correlation structure is chosen. In CRTgeeDR, we solve this problem by using a different implementation of weighting while keeping the consistency properties of the IPW (and thus of the DR).
    Link to the documentation
    Download CRTgeeDR sources
    Dissemination paper
  • N.I.M.R.O.D. Normal approximation Inference in Models with Random effects based on Ordinary Differential equations
    Models based on ordinary differential equations (ODE) are a widespread tool to describe dynamical system. In biomedical sciences, data within each subject can be sparse but information is often gained from between-subjects variability. This makes natural the use of mixed effect models to estimate population parameters. Although maximum likelihood based approaches are a valuable option, both numerical and identifiability issues favor a Bayesian approach which can incorporate prior knowledge in a flexible way. However the combination of difficulties coming from the ODE system and from the presence of random effects raises a major numerical challenge. A normal approximation of the posterior can be obtained by computing the maximum of the posterior distribution (MAP).
    Link to the documentation and sources
    Dissemination paper
  • marqLevAlg : R package for Marquardt-Levenberg minimization.
    This algorithm provides a numerical solution to the problem of minimizing a function. This is more efficient than the Gauss-Newton-like algorithm when starting from points very far from the final minimum. A new convergence test is implemented (RDM) in addition to the usual stopping criterion : stopping rule is when the gradients are small enough in the parameters metric (GH-1G).
    Link to the documentation
    Download marqLevAlg sources
    Dissemination paper

Positions

Chaire Ecole Polytechnique, Sanofi, Paris , Secondary appointment of research and teaching. "Numerical Innovation and Data Science for Health", work in collaboration with Marc Lavialle and the Inria Team XPOP.
2021 - 2023
Researcher, inria Bordeaux Sud-Ouest, team SISTM (common with INSERM in U1219 and Université de Bordeaux).
2016 - current
Post-doctoral fellow , Harvard School of Public Health Boston USA, Semi-parametric estimation of treatment effect in clustered randomized trials in presence of missing data: application to HIV prevention in South Africa (Victor de Gruttola).
2014 - 2016
32 months
Invited researcher, University of Oslo, Norway, Comparison of propensity score based methods and dynamical methods for estimation of treatment effect in observational studies (Odd Aalen).
2013-2014
1 month
Postdoctoral fellow, INSERM U121, France, Dynamical mechanistic modeling of HIV’ (Rodolphe Thiébaut).
Oct-Dec 2013
PHD and teaching assistant position, INSERM U121 and Université de Bordeaux, France (Daniel Commenges).
Oct 2010-sep 2013
Master 2 Internship , INSERM U121 and Université de Bordeaux, France, Analysis of Phase II/III HIV Clinical trials (Daniel Commenges).
Apr-Sep 2010
SAS programmer, Averion International, Basel Switzerland,Analysis of a Phase III Clinical Trial in oncology.
May-Aug 2009
Consolidator of data basis, INSERM, Unit 897, Bordeaux France, Data entry in nutrition studies.
Jun-Jul 2008

Education

HDR (Habilitation à diriger les recherches) Mechanistic and Statistical Models for Treatment and Control of Infectious Diseases
2024
Qualification for assistant professor CNU 26
2014
Ph.D. in Public Health and Biostatistics with highest honnors , Monitoring of HIV infected patients based on dynamic models, Advisor Daniel Commenges, Biostatistics, École Doctorale SP2 (Political science and public health) within the Université de Bordeaux, France
2010-2013
Master of Science (M.Sc.) in Statistics and Econometrics with high honors (dual curriculum) Department of Mathematics, Université de Rennes 1, France.
2009-2010
Master’s Degree in Engineering in Statistics, (equivalent M.Sc) ENSAI, National School for Statistics and Information Analysis, Rennes France.
2007-2010
Bachelor of Science (B.Sc.) in Economics (dual curriculum) , Department of Economics, Université de Rennes 2, France.
2008-2009
Post-Secondary Preparatory Classes, Lycée Montaigne, Bordeaux, France. University-level courses required in preparation for competitive exams into top universities, engineering, and graduate schools (France’s “Grandes Écoles”). Major : Mathematics and Physics.
2005-2007

Grants

Active Grants

International Grants
Prevac-UP
Head : Yazdanpanah Y.).
Role : Work Package Principal investigator "System Vaccinology approach".
Frame: European project RIA EDCTP.
PREVAC-UP is built around the PREVAC consortium and its main objective is to evaluate the long-term safety, as well as the durability of humoral and cellular immune responses, of three different Ebola vaccine regimens previously tested by the consortium for 5 years after vaccination. PREVAC-UP also assesses the impact of co-infection on the immune response to vaccination, build on the extensive community mobilisation efforts previously generated through PREVAC to provide a transnational platform for social and health science research and training. It thus aims to expand and sustain capacity building and training of scientists in the four participant African countries.
01/2019 - 06/2025

National Grants
SMATCH – Addressing new methodological challenges in public health data science.
Head: Sarah Zohar (Inria Heka) and Rodolphe Thiébaut (Inria/Inserm SISTM)
Role : contributor and mentor of one PhD student.
Frame : PEPR Santé Numérique
The project aims to develop and apply statistical methods and AI-based approaches to accelerate the development of medical interventions in clinical trials, focusing on the early phases and integrating multi-source data.
09/2023-08/2029
PHDS Impulsion Réseaux Public Health Data Science network.
Head: Cecil Proust-Lima
Role : Principal investigator workpackage "Incorporate complex measurement models into theoretical mechanistic models".
Frame : Université de Bordeaux
The PHDS network aims to utilize Bordeaux’s expertise in statistics, applied mathematics, and public health to develop analytical methods that: precisely predict disease onset and progression at an individual level, elucidate the mechanisms that underlie diseases, and create and assess innovative therapeutic strategies.
03/2022-03/2026

Previous Grants

International Grants
Nipah Virus Study
Head : Raoul H. & Yuan Z.).
Role: co-workpackage leader for "Biostatistics and evolutionary analysis".
Frame: Sino-French Agreement Aviesan.
 To raise the challenge caused by Nipah virus we propose to develop a program that shall led to a better understanding of the epidemiology of the virus as well as the associated physiopathology, to develop new tools in the field of diagnosis, treatment and prevention of the infection.
01/2018-12/2023
amfAR
Head : R. Wang - Harvard
Role ; Principal investigator Workpackage "Mechanistic models"
Frame : American Fundation for AIDS Research
Mechanistic and empirical modeling of viral rebound to identify predictors of post-treatment control. The output of this grant was an article in Statistical Communications in Infectious Diseases
01/2019-01/2020
EBOVAC 3
Head : Rodolphe T.
Role: Contributor in Workpackage "Modeling immune response".
Frame: European project IMI2
 The EBOVAC3 project aims to support an essential part of remaining clinical and manufacturing activities required for licensure in the European Union and the United States of a candidate heterologous prime-boost prophylactic vaccine regimen against Ebola virus disease that is under development at Janssen Vaccines & Prevention, following EBOVAC1 and EBOVAC2
06/2019-05/2023
Revealing Reservoirs during Rebound
Head : Smith D.
Role: Contributor.
Frame: P01AI131385 NIH.
. The mission of this research focus will be to create and apply new methods to address analytical challenges arising from HIV reservoir measures and cure issues in anatomic compartments using data from a variety of technological platforms.It supports my travel expenses for USA.
08/ 2017-06/2022
DYNAMHIC
Heads M. Prague and A. Hill
Frame: Inria associate team
. This collaboration allows the analysis of unique pre-clinical data in non-human primates of HIV cure interventions.
01/2018-01/2022
National Grants
EMERGEN-Modvar
Head: Cauchemez S. and Collizza V., Pasteur Institute
 Role: co-workpackage leader for the within-host aspects of the project. SISTM will contribute to modeling the impact on epidemic dynamics of SARS-CoV-2 variants based on the estimation of their within-host characteristics.
Frame: ANRS Infectious diseases.
 Consortium for Surveillance and Research on EMERgent Pathogens via Microbial GENomics. EMERGEN, coordinated by Sante publique France and ANRS-Emerging Infec16 tious Diseases, aims to deploy a genomic surveillance system for SARS-CoV-2 infections throughout France. Its main objective is to follow the genetic evolution of the SARS-CoV-2 virus in order to detect the emergence and the spatio-temporal distribution of variants, i.e. viruses with mutations likely to have functional consequences, such as infectivity, contagiousness, virulence or immune escape.
12/2021-06/2024
Coverage-Immuno
Head : R. Thiébaut
Role : Principal Investigator Workpackage "Data Analysis"
Frame: EIT Health COVID19 Rapid Response
 COVERAGE-Immuno aimed at performing a deep, repeated evaluation of immunological markers and transcriptomics data in COVID-19 positive patients treated at home in the context of COVERAGE, a randomized clinical trial evaluating several experimental treatments at home (legal trial sponsor: Bordeaux University Hospital). The project will allow a better stratification of patients based on immuno biomarkers profiles so as to adapt their management and care before hospitalization.
Apr 2020-Dec 2020
Mechanistic modeling and optimization of the response to HIV & Ebola vaccines
Head : Prague M.
Frame: inria CORDIS-S.
 We propose to combine exploratory analysis, dimension reduction methods for high dimensional data, mathematical dynamical modeling and optimal control theory to propose optimal vaccination strategies in term vector choices and timing of vaccine boosts. This grant aims at funding a 3 years of PhD student.
10/2018-09/2021
GESTEPID
Head Prague M.
Frame: Action Inria stop COVID19
 Modeling of the COVID-19 epidemics in France with a focus on the region Nouvelle-Aquitaine. A first output of this grant is the article "Population modeling of early COVID-19 epidemic dynamics in French regions and estimation of the lockdown impact", which was cited by the Conseil Scientifique COVID-19 on his report June 2nd
03/2020-12/2020
EVALUATES
Head : Rondeau V.
 Role: Principal investigator workpackage mechanistic modelling.
Frame: INCA project (National Institute for Cancer).
 "Evaluation of the efficacy of treatments on the evolution of tumor size and other criteria of survival. Development of joint models involving dynamical mechanistic model of tumor growth".
08/2017-06/2021
Philippe foundation grant (renewal)
. My project concerned: "Evaluating and targeting of HIV prevention strategies" (6000$ personal grant for research travels).
2015
Philippe foundation grant. It's a non-profit organization for Franco-American exchanges. My project concerned: "Methods for analyzing HIV clustered randomized data and cohort data with informative missingness" (5000$ personal grant).
2014

Awards & Honnors

Top download. Paper in the 10% most downloaded among work published in an issue between 1 January 2022 – 31 December 2022 in CPT: Pharmacometrics & Systems pharmacology.
M. Prague and M. Lavielle, SAMBA: A novel method for fast automatic model building in nonlinear mixed-effects models, 11(2) - 161-172 - Feb 2022 (11 pages).
2024
Prime d'Excellence. It is a special mention delivered by inria at the national level.
2017-2025
SFDS Conference travel award. This 600€-grant allow young scientists whose application get selected to attend a the French annual conference JdS
2016
Harvard Rose fellowship Award. Four prices a year to offer a cross-cultural experience of research in developing country. My project concerned: "Estimation of incidence and prevalence of HIV in Botswana: pooling data from different registers to evaluate the impact of personal characteristics such as citizenship".
2016
Marie-Jeanne et Laurent Duhamel Award. The price is given once every other year by the Statistical French Society and awards scientific quality of PhD works in Applied Statistics.
2015
Selected for summer school Sidaction Young researchers. One week intensive class program to mix multidisciplinary early-stage researchers in order to promote collaborations in the field of HIV.
2011