Bonou Wilfried

BONOU N. Wilfried

Laboratory of Applied Ecology
Faculty of Agronomic Sciences
Université d’Abomey-Calavi
01 BP 526 Cotonou, Benin
Tel. (+229) 97136466 or (+229) 94078618
Fax (+229) 21303084

Current address:
Quantitative methods in social sciences,
Institute of human and social sciences,
Université de Liège (ULg), Belgium
Boulevard du Rectorat 7 (Bat. B31), Bureau R.58
B-4000 Liège (BELGIUM)
Tél (office) : (+32) 43 66 30 24
GSM : (+32) 483 152 462
Professional :


• PhD Student in Applied Mathematical Statistics, Mathematical Statistics Unit, Department of Mathematics, Faculty of Sciences, Université de Liège (ULg), Belgium, 2014 to —
• Msc, Applied Statistics, Biostatistics, Louvain School of Statistics, Biostatistics and Actuarial Sciences (LSBA), Université Catholique de Louvain (UCL), Belgium, 2012.
• Msc, Agronomy Engineer Degree, Faculty of Agronomic Sciences (FSA), Université d’Abomey-Calavi (UAC), Benin, 2007. Major : Agronomy & Forestry.
• BS, General Agronomy, Faculty of Agronomic Sciences, Université d’Abomey-Calavi, Benin, 2006.
• Baccalaureate, “Series D” (Mathematical & Experimental Sciences), Complexe scolaire Camara-Laye, Abomey-Calavi, Benin, 2002.


• Principal Statistician of the National Committee to Fight HIV / AIDS (in french : “Comité National de Lutte contre les IST / VIH / SIDA (CNLS-Benin)”). Monitoring and Evaluation (M&E) Unit, CNLS, Benin. October, 2013 — April, 2014. Recruited by the Global Fund to Fight AIDS, Tuberculosis and Malaria on the base of high competitive recruitment test and interview ;

• Teaching (Guest Lecturer) of Statistics at Private and at (other) Public Universities. November, 2012 – Present ;
• Many courses/trainings on the use of the R software for statistical analysis. Jully, 2011 – Present ;
• Research Assistant, Laboratory of Applied Ecology & Center of Biostatistics and Computer Science, Faculty of Agronomic Sciences, Université d’Abomey-Calavi, Benin. 2008-Present ;
• Lecturer of Descriptive statistics, Trees mensuration techniques, Fundamentals of Forest Management. Vocational Agricultural College (“Lycée Agricole Mèdji de Sékou”), Benin. 2008-2010 ;
• Many Independent consultations.


• Statistical Inference in Models Specified by NonLinear Differential Equations : Bayesian perspectives;
• Epidemiological dynamic modeling (ex. : Ebola, Malaria, etc.) ;
• Modeling of Afzelia africana seedlings growth dynamics;
• Structural characterization of tropical forests.


• Non-linear modeling (non-linear mixed effects models): On the Performance of Bayesian versus Frequentist Estimators using different Methods [Algorithms] and Software (R, SAS, WinBUGS / R2WinBUGS, BlackBox, NONMEM);
• Bayesian versus Frequentist Estimators for Population Pharmacokinetics Models;
• Structural characterization of tropical forests ;
• Structural characterization of forests lodging Afzelia africana Sm (an endangered species) in the Lama Forest reserve of Benin.


• PhD Fellowship of the Interuniversity Attraction Poles Network (IUAP or IAP) Programme on “Developing crucial Statistical methods for Understanding major complex Dynamic Systems in natural, biomedical and social sciences (StUDyS)”, a network financed by the Belgian Science Policy Office (BELSPO). Phase II : 2012 – 2017, Project P07/06.

• Quetelet Prize 2011 – 2012 for the best thesis in biometrics – biostatistics 2011 – 2012 (an outstanding Master thesis in biometrics – biostatistics). Organized and given by Adolphe Quetelet Society (Belgian Region of the International Biometric Society), founded in 1952: ;

• Travel award (Sponsoring). By Arlenda Society, a Belgian company specialized in applied modeling and statistics in Life sciences ( and Adolphe Quetelet Society ( for my participation to the 21st annual meeting of the Belgian Statistical Society. Ghent University, Belgium, 9 – 11 October 2013 : ;

• Training grant, for the “Young Statisticians Day” in prelude to the 2nd Edition of the International Conference on Applied Statistics for Development in Africa (, Cotonou, Benin, March 5-8, 2013. Supported by the International Statistical Institute (ISI) and funded by the World Bank Trust Funds for Statistical Capacity Building ;

• Conference grant, for the 2nd Edition of the International Conference on Applied Statistics for Development in Africa (, Cotonou, Benin, March 5-8, 2013. Funded by the World Bank Trust Funds for Statistical Capacity Building ;

• Master fellowship, Belgian Agency of Development, for the Msc. in Applied Statistics, 2010-2012. ;

• Research grant, Benin Centre of Scientific and Technical Research (CBRST), for the project : “Structural characterization of forests lodging Afzelia africana Sm in the Lama Forest reserve of Benin”, Benin, 2007. ;

• National scholarship of Benin government, grants awarded on a competitive basis, for pursuing university study at an engineering faculty, 2002-2007.


• Lokonon B.E., Bonou N.W., Kassa B., Azihou A.F., Assogbadjo A., Babatoundé S., Glèlè Kakaï R. (2013). Structural and ethnobotanical characterization of velvet tamarind (Dialium guineense Willd), a multipurpose tree species. Agronomie africaine 25 (2) : 121 – 131.

• Moukoumbi Y. D., Sie M., Vodouhe R., Bonou W., Toulou B., Ahanchede A. (2011). Screening of rice varieties for their weed competitiveness. African Journal of Agricultural Research 6(21), 5446-5456.

• Gnanglè P.C., Glèlè Kakaï R., Oumorou M., N’djolosse K., Bonou W., Sokpon N. (2010). Tests de croissance de jeunes plants de néré (Parkia biglobosa, Jack, R. Br.) en pépinière. International Journal of Biological and Chemical Sciences, 4(6): 1939-1952.

• Djagoun C.A.M.S., Glèlè Kakaï R., Konnon D.D., Sèwadé C., Kouton M., Bonou W., Gouwakinnou G., Fandohan B. (2010). Potentiel des Ressources Végétales Forestières Alimentaires et Médicinales de la Forêt Classée de l’Ouémé Supérieur et N’Dali au Nord Bénin. Fruit, Vegetable and Cereal Science and Biotechnology, 4(1): 47-54. ©2010 Global Science Books.

• Bonou W., Glèlè Kakaї R., Assogbadjo A. E., H. Fonton N., Sinsin B. (2009). Characterisation of Afzelia africana Sm. habitat in the Lama Forest reserve of Benin. Forest ecology and management : 258 : 1084–1092.


Bonou N.W. (2013). Bayesian versus Frequentist Estimators for a Non-Linear Mixed Effects Model:
Application to Population Pharmacokinetic Models. In books of abstracts. The 21st Annual Meeting
of Belgian Statistical Society, Quetelet Prize winners Session. University of Ghent, Belgium, 9 – 11
October 2013.

Bonou N.W, Lambert P., Jullion A., Bouillon-Pichault M., Boulanger B. (2013). Bayesian versus frequentist estimators for a non-linear mixed effects model : Application to a population pharmacokinetic model. In Proceedings of the 59th World Statistics Congress of the International Statistical Institute, 2013. Poster. In Contribueted Papers. The 59th World Statistics Congress (WSC), Hong Kong, 25-30 August, 2013.

Bonou N.W. (2013). Bayesian inference versus classical statistical inference: principles and applications. Regular (monthly) seminars of the Laboratory of Applied Ecology, Faculty of Agronomic Sciences, University of Abomey-Calavi. Abomey-Calavi, Benin, 26 April 2013.

Bonou N.W., Lambert P., Jullion A., Bouillon-Pichault M., Boulanger, B. (2013). Bayesian versus
Frequentist Estimators for a Population Pharmacokinetics Model. In Proceedings. The 2nd Edition of
the International Conference on Applied Statistics for Development in Africa — Session of Bayesian
Statistics and MCMC Methods –. Cotonou (Benin), 4 – 8 March, 2013. Pp125-130.

Glèlè Kakaï R., Bonou W. (2010). Characterization of the habitat of an endangered species (Afzelia
africana Sm.) in the Lama Forest reserve. In Books of Abstracts. The 21st Annual Conference of the
International Environmetrics Society, a Section of ISI. Books of Abstracts – Monitoring and modeling of
environmental systems -. Venezuela, 20-25 June 2010. Pp30.


• Bayesian statistics
• Nonlinear Ordinary Differential Equations (ODE) modeling
• Nonlinear mixed effects models
• Mixed effects models
• (Bayesian) Smoothing methods (B-Spline & Penalties techniques for solving linear and nonlinear models)
• Numerical analysis
• Mathematical statistics
• Nonparametric statistics
• Applied statistics
* Bayesian statistics
* Markov Chain Monte Carlo in practice
* Repeated measurements analysis
* Modeling the dynamical behaviour of complex biological systems
* Multivariate statistics
* Biostatistics
* Survival data analysis
* Biometry, forest ecology & forest modeling
* Applied statistics in social sciences


• SAS Certificate : Base Programmer for SAS 9 :
Essentials of Basics SAS Programming, Data Manipalation Techniques.

• SAS Certificate : Advanced Programming for SAS 9 :
Sql, Macro Language, Advanced Techniques and Efficiencies Programming.

• R, WinBUGS, JAGS (programming)

• High experienced in the use of statistical software such as R, SAS, SAS Enterprise Guide,


• Regular member of the International Statistical Institute (ISI). Since 2013 –
• Member of the Belgian Statistical Society. Since 2014 –


• English, French
• Beninese languages