Mélanie PRAGUE

Bordeaux Population Health, 146 Rue Léo Saignat, 33000 Bordeaux
Phone +33 5 57 57 45 31

Since 2016, I am permanent researcher at inria Bordeaux Sud-Ouest Center, in the team SISTM ("Statistics for immunology and translational medicine", 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.

I got a PhD in Public Health option Biostatistics at the University of Bordeaux in 2013 on the «monitoring of patients infected with HIV». Before that, I‘m a engineer in statistics from ENSAI and have a master degree in mathematical statistics and econometrics. Following my thesis, I conducted a short invited researcher stay at the University of Oslo (Norway), then I was a postdoctoral fellow for 2 1/2 years at Harvard School of Public Health (Boston, USA).

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; Between-host models; Causality; Control theory; Dynamical model; GEE; Ordinary Differential Equation; Maximum Likelihood; Mechanistic modeling; Missing data; Mixed effetcs models; Network; Semi-parametric statistics; Within-host models.
  • Public Health - Data and statistics: Biomarkers; Biostatistics; High-dimensional data; Personalized medicine; Pharmacometrics; Randomization; Infectious diseases; Immunology ; Transcriptomic data; Trials design; Vaccine;HIV; Ebola; Nipah; SARS-CoV-2.

Research activities

  • Mechanistic Dynamical modeling
    • Inverse problems in within-host models
    • System vaccinology
    • In silico trials
  • Evaluation of intervention effect for infectious diseases
    • Inverse problems in between-host models
    • Causality, Missing data
    • Network science
  • Applied expertize
    • HIV/AIDS
    • Ebola virus
    • Nipah virus
    • SARS-CoV-2

Activities linked with research


Actually, amount of hours spent teaching is approximatively 64 hours a year from which half are lectures. The students are at PHD level, from Master in biostatistics and from Engineering degree (ENSAI).
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
List of lectures and tutorials is available below. Specific content can be sent upon request by mail. Classes in bold are still active
  • PhD Level:
  • Master Level:
    • Missing data Advanced class - Engineering degree 3rd year Biostatistics (2017-)
    • Introduction to Missing data - Master 2 in Biostatistics (2016-)
    • Introduction to dynamical systems (2016-)
    • Scientific Critical Reading - Engineering degree 3rd year Biostatistics (2018-2020)
    • Design experiment - Master 2 in Pharmacology (2016-2018)
    • Bayesian statistics - Master 1 in stochastic processes (2017-2018)
    • Introduction to research - Engineering degree 3rd year Biostatistics (2011-2013, 2016-2018)
    • Bayesian Statistics - Master 2 in Biostatistics (2011-2013)
    • Inferential Statistics - Master 2 in Biostatistics (2011-2013)
    • Introduction to SAS - Master 1 in Biostatistics (2010)
  • Under-graduate Bachelor Level:
    • Basics in Statistics & probabilities - Bachelor 1 in Social Science(2010-2011)
    • Basics in IT and office software - Bachelor 2 in Medicine (2010-2013)
  • Continued training :
    • Linear regression & Analyze of variance - Technical Degree in Public health (2010-2013, 2016-)
    • Introduction to R - Bordeaux Public Health Summer School (2016-)
    • Bayesian Statistics - Bordeaux Public Health Summer School (2017-)

Selected Collaborations

Alison Hill is a research Fellow and independent principal investigator at Harvard’s Program for Evolutionary Dynamics . Dr. Hill develops mathematical and computational tools to help us better understand, predict, and treat infectious diseases, with a particular focus on human viral infections including HIV/AIDS.
2016 - current
Elizabeth Turner is an Assistant professor at Duke Global Health Institute and the Department of Biostatistics and Bioinformatics . Dr. Turner has experience working in both epidemiological studies and randomized trials across a range of substantive areas in developed world and resource poor settings.
2015 - current
Rui Wang is an Associate Professor of Population Medicine and Director of the Biostatistics Center in the Department of Population Medicine at Harvard Medical School and the Harvard Pilgrim Health Care Institute . Dr. Wang's research interests include the design, monitoring, and analysis of parallel and stepped-wedge cluster randomized trials.
2014 - current
Victor de Gruttola is a resaearch Professor at Harvard T.H. Chan School of Public Health . Dr. De Gruttola’s research activities focus on developments of statistical methods required for appropriate public health response to the AIDS epidemic.
2014 - current

Sebastien Benzecky is researcher at inria Bordeaux . Dr. Benzekry focuses on applied mathematics to cancer research.
2017 - current
Annabelle Collin is assistant professor at Institut Polytechnique de Bordeaux. Dr. Collin research activities are centered around data assimilation using sequential strategies.
2017 - current


Marie Alexandre, co-supervision with R. Thiébaut. Mechanistic modeling and optimization of vaccine response in HIV and Ebola.
2018- current
Laura Villain, collaboration with weekly meeting - Analyse et modélisation de l’effet des injections d’interleukine 7 sur les patients infectés par le VIH - Université de Bordeaux - mentor D. Commenges - Presently Data Scientist at Université de Bordeaux.
Patrick Staples, collaboration with weekly meeting 2nd and partially 3rd paper- Networks and Statistical Approaches in Biological Contexts - Harvard T.H. Chan School of public health - mentor JP Onnela - Presently Data Scientist at Mindstrong Health.

Postdoctoral fellows
Quentin Clairon Estimation in mechanistic models based on control theory: application to Ebola studies
2019- current
Laura Villain Joint modeling of dynamical biomarkers and high-dimensional data.
2018- 2019
Irene Balleli Modeling response to Ebola vaccines.
2017- 2019

Research Engineer
Maria Pietro-Gonzalves
2020 - current
Mélany Durand
2017- 2019

Master interns
Clément Lemoigne - Evaluation des propriété des algorithme de selection de variable dans Monolix
June-Sept. 2020
Guillaume Sotton - Modélisation conjointe par modèle à fragilité en cancer à l'aide du logiciel Monolix - Master Bioinformatics Universite de Bordeaux - Presently in industry.
Feb-Aug 2019
Marie Alexandre - Modèle Vaccinal pour Ebola Dynamique des anticorps et de la réponse cellulaire - Master 1 Centrale Marseille - Presently PHD student.
Jun–Aug 2017
Apr-Aug 2018
Paul Tauzia - Utilisation de la déconvolution cellulaire pour détecter des différences d’expression génique - Master 2 MSS Université de Bordeaux.
Apr-Sept 2017
Augusta Alphonse - Proof of concept for an automated gating tool applied to flow cytometry data from a HIV therapeutic vaccine trial - Master 2 in Vaccinology Creteil.
Apr-Sept 2017
Damien Fossat-Cercler - Dynamical modeling of pharmacoepidemiology in observational studies: optimization of methods for numerical integration - Master 2 in Statistics and ENSAI 3rd year - Presently Data Analyst Senior at PwC France.
Apr-Sept 2013
Ana Jarne - Modeling of T-lymphocytes dynamics after InterLeukine-7 injections in HIV infected patients: introduction of a feedback loop - Master 2 in Biostatistics, Université de Pau - Presently Research engineer at Université de Bordeaux.
Apr-Sept 2012
Sybille Masse - Understanding the Effect of Interleukin-7 with mathematical models - ENSAI 2nd year - Presently Junior biostatistician at Lincoln.
Jun-Sept 2011



  • Bing A., Hu Y., Prague M., Hill A., Li J., Bosch R., De gruttola V., and Wang R. : Comparison of empirical and dynamic models for HIV viral load rebound after treatment interruption, Statistical Communications in Infectious Diseases, 2020;12(1) 259-274. access
  • Nicolò C., Périer C., Prague M., Bellera C., MacGrogan G., Saut O., and Benzekry S., Machine learning and mechanistic modeling for prediction of metastatic relapse in early-stage breast cancer, JCO Clinical Cancer Informatics, 2020 Mar;4:259-274. access
  • Balelli I., Pasin C., Prague M., Crauste F., Van Effelterre T., Bockstal V., ... and Thiébaut R., A model for establishment, maintenance and reactivation of the immune response after vaccination against Ebola virus, Journal of Theoretical Biology , March 2020, 495 - 110254. access


  • Turner E., Yao L., Li F. and Prague M., Properties and pitfalls of weighting as an alternative to multilevel multiple imputation in cluster randomized trials with missing binary outcomes under covariate-dependent missingness,Statistical Methods in Medical Research 29(5) - 1338-1353 - July. 2019. access
  • Pasin C., Balelli I., Van Effelterre T., Bockstal V., Solforosi L., Prague M., Douoguih M. and Thiébaut R., Dynamics of the Humoral Immune Response to a Prime-Boost Ebola Vaccine: Quantification and Sources of Variation, Journal of Virology, 93(18) - e00579-19 - August. 2019. access


  • Villain L., Commenges D., Pasin C., Prague M. and Thiébaut R., Adaptive protocols based on predictions from a mechanistic model of the effect of IL7 on CD4 counts. Statistics in medicine, 38(2) - 221-235 - Sept. 2018. access.
  • Novitsky V., Prague M., Moyo S., Gaolathe T., Mmalane M., Kadima Yankinda E., Chakalisa U., Lebelonyane R., Khan N., Powis K., and others, High HIV-1 RNA among Newly Diagnosed People in Botswana. AIDS research and human retroviruses, R journal, 34(3) - 300-306 - Mars 2018. access.


  • Iwuji C., Orne-Gliemann J., Larmarange J., Thiébaut R., Tanser F. ,…, Prague M.,…, Dabis F and the ANRS 12249 TasP Study Group: Universal test and treat and the HIV epidemic in rural South Africa: a phase 4, open-label, community cluster randomised trial. Lancet HIV, 5(3), Pe116-e125. Access.
  • Prague M., Wang R. and de Grutolla V. : CRTgeeDR: An R package for generalized estimating equations with missing data in cluster randomized trials. The R journal 9 (2) 105-115. Access.
  • Turner E, Prague M., Gallis J., Li F. and Murray D. : Review of recent methodological developments in group-randomized trials: part 2 analysis. American Journal of Public Health, 107(7) 1078-1086 Access.
  • Turner E., Prague M., Gallis J., Li F. and Murray D. : Review of recent methodological developments in group-randomized trials: part 1 design. American Journal of Public Health 107(6), 907-915. Access.
  • Ana J., Commenges D., Prague M., Levy Y., Thiébaut R. Modelling CD4+ T cells dynamics in HIV-infected patients receiving repeated cycles of exogenous interleukin 7. Annals of applied statistics 11(3) 1593-1616. Access.
  • Moyo, S., Mohammed, T., Wirth, K. E., Prague, M., Bennett K., Holme M. P., ... and Maphorisa C.N. : Point-of-care Cepheid Xpert HIV-1 viral load test in rural african communities is feasible and reliable. Journal of clinical microbiology, 54(12), 3050-3055. Access.


  • Smith, R., Lee, B. Y., Moustakas, A., Zeigler, A., Prague, M., Santos, R., ... and Comans T. : Population modelling by examples ii. Proceedings of the Summer Computer Simulation Conference (SCSC '16) ACM Digital Library,, 51:1--51:8. Access.
  • Prague M., Gran JM., Thiébaut R., Aalen A. and Commenges D. : Dynamic versus marginal structural models for estimating the effect of HAART on CD4 in observational studies: application to the Aquitaine Cohort study and the Swiss HIV Cohort Study. Biometrics 73(1), 294-304. Access.
  • Prague M. : Use of dynamical modeling for Optimization of treatment in H IV infected patients. Invited paper in Journal de la SFdS, 157(2), 19-38. Access.
  • Prague M., Wang R., Stephens A., Tchetgen Tchetgen E and De Gruttola V. : Accounting for interactions and complex inter‐subject dependency in estimating treatment effect in cluster‐randomized trials with missing outcomes. Biometrics 72(4) 1066-1077. Access
  • Le Grand R., Bosquet N., Dispinseri S., Hopewell N., Gosse L., Desjardins D., Shen X., Tomaras G., Saidi H., Prague M., Barnett S., Thiébaut R., Cope A., Scarlatti G. and Shattock R.J : Superior Efficacy of a Human Immunodeficiency Virus Vaccine Combined with Antiretroviral Prevention in Simian-Human Immunodeficiency Virus-Challenged Nonhuman Primates. Journal of virology 90(11):5315-5328. Access


  • Thiébaut R., Drylewicz J., Prague M., Lacabaratz C., Beq S., Crough T., Sekaly R.P., Lederman M.M., Sereti I., Commenges D. and Levy Y : Quantifying and Predicting the Effect of exogenous Interleukin-7 on CD4+T cells in HIV-1 Infection. PLoS Comput Biol. 2014;10(5):e1003630. Published 2014 May 22, doi:10.1371/journal.pcbi.1003630. Access
  • Thiébaut R., Prague M. and Commenges D. : Modèles mathématiques dynamiques pour la médecine personnalisée. Medecine/Science ITMO Santé publique 30(2) 23-26. Access


  • Prague M., Commenges D. and Thiébaut R. : Dynamical models of biomarkers and clinical progression for personalized medicine: the HIV context. Advanced Drug Delivery Review 65(7) 954–965. Access
  • Prague M., Commenges D., Guedj J., Drylewicz J. and Thiébaut R. : NIMROD: A Program for Inference via Normal Approximation of the Posterior in Models with Random effects based on Ordinary Differential Equations. Computer methods and Programs in Biomedecine 111(2) 447-458. Access


  • Prague M., Commenges D., Drylewicz J. and Thiébaut R. : Treatment monitoring of HIV infected patients based on mechanistic models. Biometrics 68(3) 902–911. Access
  • Philip P, Sagaspe P, Prague M, Tassi P, Capelli A, Bioulac B, Commenges D. and Taillard J. : Acute versus chronic partial sleep deprivation in middle-aged people: differential effect on performance and sleepiness. Sleep 35(7) 997-1002. Access

In revision

  • V. philipps, B. Hejblum, M. Prague, D. Commenges and C. Proust-lima, Robust and Efficient Optimization Using a Marquardt-Levenberg Algorithm with R Package marqLevAlg, Journal of Statistical Software, 8 pages, Preprint
  • M. Prague, L. Wittkop, A. Collin, Q. Clairon, D. Dutartre, P. Moireau, R. Thiébaut and B. Hejblum, Population modeling of early COVID-19 epidemic dynamics in French regions and estimation of the lockdown impact on infection rate, Biometrics, 15 pages, Preprint
  • M. Prague, J. Gerold, I. Balelli, C. Pasin, J. Li,D. Barouch, J. Whitney, and A. Hill, Viral rebound kinetics following single and combination immunotherapy for HIV/SIV, Nature Communications, 20 pages, Preprint
  • C Commenges and M. Prague, Effects of interventions and optimal strategies in the stochastic system approach to causality, Biometrics, 10 pages, Preprint
  • M. Alexandre, M. Prague and R. Thiébaut, Between group comparison of AUC in clinical trials with censored follow-up, Application to HIV therapeutic vaccines, Statistical Methods in Medical Research, 10 pages, Preprint
  • Staples P., Prague M., De Gruttola V. and Onnela JP. : Leveraging Contact Network Information in Clustered Observational Studies of Contagion Processes, Annals of Applied statistics, 15 pages. Preprint

Ready, to be submitted in International journals

  • Q. Clairon, C. Pasin, I. Balelli, R. Thiébaut, and M. Prague, Parameter estimation in nonlinear mixed effect models based on ordinary differential equations, an optimal control approach, 6 pages, Preprint.
  • C. Colas, B. Hejblum, P.Y. Odeyer, R. Thiébaut, C. Moulin-Frier, and M. Prague, EpidemiOptim: Toolbox for the optimization of control policies in epidemiological models, 6 pages, Preprint.
  • A. Collin, M. Prague and P. Moireau, Estimation for dynamical systems using a population-based Kalman filter, Applications to pharmacokinetics models, 10 pages, Preprint.


  • 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


Researcher (CR2), 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).
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


Qualification for assistant professor CNU 26
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
Master of Science (M.Sc.) in Statistics and Econometrics with high honors (dual curriculum) Department of Mathematics, Université de Rennes 1, France.
Master’s Degree in Engineering in Statistics, (equivalent M.Sc) ENSAI, National School for Statistics and Information Analysis, Rennes France.
Bachelor of Science (B.Sc.) in Economics (dual curriculum) , Department of Economics, Université de Rennes 2, France.
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.
High school diploma with high honors, – Lycée V. Louis, Talence, FR. Major: scientific, Specialization: Mathematics.


International Active Grants
Prevac-UP (head Yazdanpanah Y.).
Role : Work Package PI "System Vaccinology approach".
Frame: European project RIA EDCTP. PI.

This programme is expected to have a significant impact on Ebola prevention and control and will provide useful information on the effectiveness and the suitability of Ebola vaccine strategies in sub-Saharan Africa. We propose to model the long term antibodies response and the role of baseline parasite status of individuals. This grant aims at funding a 2 years of postdoc, travel and equipment expenses.
Jan. 2018-Jan. 2023
Nipah Virus Study (Head Raoul H. & Yuan Z.).
Role: Work Package co-PI "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. This grant aims at funding a 2 years of postdoc, travel and equipment expenses.
Jan. 2018-Jan. 2023
Coverage-Immuno (head R. Thiébaut)
Role : Work package PI "Data Analysis"
Frame: EIT Health COVID19 Rapid Response

The project will allow a better stratification of patient based on immuno biomarkers profiles so to adapt their management and care before hospitalization.
Apr 2020-Dec 2020
EBOVAC 3 (head Rodolphe T.).
Role: Collaborator in charge of activities in WP "Modeling immune response".
Frame: European project IMI2

The overall aim of EBOVAC3 is 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
Jan. 2018-May.2023
Revealing Reservoirs during Rebound (Head Smith D.).
Role: Collaborator.
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.
Aug. 2017-Jun. 2022
National Active Grants
DYNAMHIC (Heads M. Prague and A. Hill)
Role: Principal investigator
Frame: Inria associate team
This collaboration with Harvard Program for evolutionary dynamics allows the analysis of unique pre-clinical data in non-human primates of HIV cure interventions, which are at the leading edge of preclinical research in the area. The novelty of the approach is to propose an integrative project studying complex biological processes with novel mathematical statistical models, which has the potential to yield predictive computational tools to assist in the design of both therapeutic products and clinical trials for HIV cure.
Jan. 2018--
Mechanistic modeling and optimization of the response to HIV & Ebola vaccines (Head Prague M.).
Role: PhD advisor
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.
Oct. 2018-Sept. 2021
GESTEPID (head Prague M.)
Role: co-Principal investigator
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
Mar. 2020--
EVALUATES (Head Rondeau V.).
Role: Work Package PI.
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. This grant aims at funding a 6 months of intern students, travel and equipment expenses.
Aug. 2017-Jun. 2020
Previous Grants
amfAR (Head R. Wang - Harvard)
Role Work package PI "Mechanistic models"
Frame 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
Jan 2020-Dec 2020
Conference Travel Grant (Statistical French Society) . This award allow young scientist whose application get selected to attend a French conference (600€). It allowed me to attend the “Journée de la Statistique 2016”.
Philippe foundation grant (renewal). My project concerned: "Evaluating and targeting of HIV prevention strategies" (6000$ personal grant for research travels).
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).

Awards & Honnors

Prime d'Excellence. It is a special mention delivered by inria at the national level.
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".
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.
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.