Prof. Dr. Ir. Romain Lucas GLELE KAKAÏ

Lab Director

Research interests : Linear and non linear mixed model – Generalized linear models – Nonlinear Dynamical system – Multiblock data analysis –Forest estimations – Forest management


Lab Director


• Professor of Biometry and Forest estimations
• Head of the Laboratoire de Biomathématiques et d’Estimations Forestières
• President/Chair of the scientific committee of agronomic sciences, University of Abomey-Calavi (UAC)
• President/Chair of the Scientific council of the National Institute of Agricultural research of Benin
• President/Chair of the African German Network of Excellence in Science (AGNES)
• Coordinator of the Doctoral training in Biostatistics, University of Abomey-Calavi (UAC)



• Professor of Biometry and Forest estimations, 2015
• PhD in Biometry, Gembloux Agricultural University, Belgium, 2005
• MSc in Biometry, Gembloux Agricultural University, Belgium, 2001
• Engineer Degree in Forestry, Faculty of Agronomic Sciences, University of Abomey-Calavi, 2000
• Bachelor Degree in Agronomy, Faculty of Agronomic Sciences, University of Abomey-Calavi, 1998

International Prizes

• PRIZE “Heinz and Johannes”. Best research paper in Ecology; 2007 edition. The Support Africa International Foundation, Germany, 2007.
• PRIZE “Jan Tinbergen”. Best young statistician from emerging and developing countries. The International Statistical Institute (ISI), Australia, 2005.
• PRIZE “Biométrie 88”. Best young French biometrician in Belgium. National Association of French Belgian biometricians, Belgium, 2002.


International Distinctions

• Member of the selection committee of the International Climate Protection Fellowship Programme of the Alexander von Humboldt Foundation (Germany), since 2017

• President of AGNES (African-German Network of Excellence in Science), since 2019.

• Member of the Global Young Academy of Sciences, 2012-2018.

• Member of The Young Affiliate Network of the World Academy of Sciences, Since 2011.

• Member of the World Economic Forum community (Young scientists). Participation in the Annual meeting of the new champions 2012, Tianjin, China.

• Fellow of the Alexander von Humboldt Foundation for outstanding achievements in research. Germany, 2007.

• Member of The World Academy of Sciences (Young affiliate), 2011-2015.

• “Young scientists” for the World Economic Forum (Annual meeting of the new champions 2012).

Collaborative research projects

• BAOCHAIN. Period: 2018-2021
• ARES-POP. Period: 2018
• TREE FOOD. Period: 2017-2019
• OSFACO. Period: 2017-2018
• MANGROVES. Period : 2016-2018
• SCOPA. Period: 2015-2018
• BIOCEL. Period : 2016-2018
• AmeRCAF/WECARD. Period : 2013-2015
• Forest Plots (WEAMU). Period : 2012-2014
• Jatropha (African Union). Period : 2012-2015
• WILD PALM. Period : 2012-2015


Visiting professor in other African universities

•Kwame Nkrumah University of Science and Technology (KNUST), GHANA. Contact person: Prof. Odai. Email: Course: Univariate and Multivariate statistical methods for PhD Students in the Regional Waterand Environmental Sanitation Centre, Kumasi (RWESCK). Since 2018.

•Kwame Nkrumah University of Science and Technology (KNUST), GHANA. Contact person: Prof. Agyare. Email: Course: Univariate and Multivariate statistical methods for PhD Students in WASCAL Doctoral Programme Climate Change and Land Use. Since 2015.

•Wascal’s GRP-Climate Change and Biodiversity, University Félix Houphouët Boigny (COTE D’IVOIRE). Course: Sampling techniques and experimental designs for PhD students in Natural resources and climate change. Contact Person: Prof. Kone Daouda. Email: (2014)

•University of Abdou Moumouni; Faculty of Sciences, NIGER. Contact person: Prof. Bakasso Yacoubou. BP 10662 Niamey Niger. E-mail: Phone: +227 90381418. Course: Biostatistics for MSc Students. (2010-2017).

•University of Lome; Faculty of Sciences, TOGO. Contact Person: Prof. Kokou Kouami. Course: Linear mixed effects models for students in WASCAL Master Research Program in Climate Change and Human Security. Email: Since 2018

•University of Kara; Faculty of Sciences, TOGO. Contact person: Prof. Baba Gnon. Email: Course: Linear models for BSc students in statistics. (2010-2018).

•Higher National Agronomy and biotechnology Institute (GABON). Lecture in Experimental designs for engineer degree students in agronomy. Contact person: Prof. Kumulungui Brice Serge. Email: (2013-2014).


Profiles and Curriculum

ResearchGate page
GoogleScholars page


Download my Curriculum Vitae

Total number of publications

• Peer reviewed articles: 245
• Books and book chapters: 04
• Communications: 50
• Technical documents: 12

Key publications

• Tchandao Magamana E., Glèlè Kakaï R., Qannary E. M. (2021). A general strategy for setting up supervised methods of multiblock data analysis. Chemometrics and Intelligent Laboratory Systems. 217(15). 104388.

• Tovissodé, C. F., Diop, A., & Glèlè Kakaï, R. (2021). Inference in skew generalized t-link models for clustered binary outcome via a parameter-expanded EM algorithm. Plos one, 16(4), e0249604.

• Tovissodé C.F., Doumatè J.T., Glèlè Kakaï R. (2021). A Hybrid Modeling Technique of Epidemic Outbreaks with Application to COVID-19 Dynamics in West Africa. Biology, 10, 365.
Gnanvi J., Salako V. K., Kotanmi B., Glèlè Kakaï R. (2021). On the reliability of predictions on Covid-19 dynamics: a systematic and critical review of modelling techniques. Infectious disease modeling, 6: 258-272.

• Tovissodé, C.F., Honfo, S.H. and Doumatè, J.T., Glèlè Kakaï, R. (2021). On the Discretization of Continuous Probability Distributions Using a Probabilistic Rounding Mechanism. Mathematics, 555 (9).

• Tovissode F., Lokonon B., Glèlè Kakaï R. (2020). On the use of growth models to understand epidemic outbreaks with application to COVID-19 data. PLoS One, 15(10): e0240578.

• Taboe H. B., Salako K. V., Tison J., Ngonghala C.N, Glèlè Kakaï R. (2020). Predicting COVID-19 spread in the face of control measures in West-Africa. Mathematical biosciences, 328, 108431; DOI: 10.1016/j.mbs.2020.108431.

• Lokonon B. E., Senou M., Glèlè Kakaï R. (2020). Effect of misspecification of random effects distribution on the performance of parameters estimation methods in binary logistic mixed models. Afrika Statistika 15(1): 2247-2262.

• Lokonon B., Glele Kakaï R. (2020). Empirical assessment of the performance of four estimation methods in Generalized linear mixed models with binary outcomes. International Journal of Mathematics and Statistics, 21(2): 40-56.

• Hounmenou, C. G., Gneyou, K. E., & Glèlè Kakaï, R. (2020). An Extension of the Quadratic Error Function for Learning Imprecise Data in Multivariate Nonlinear Regression. Journal of Probability and Statistics. DOI.10.1155/2020/9187503.

• Lokonon B. E., Djibril-Moussa Freedath, Diouf Saliou, Glèlè Kakaï R. (2020). Empirical performance of estimation methods in Beta mixed models with application to ecological data. Afrika Statistika, 15(2): 2279 – 2293.