MUREMYI Roger

Academic rank: 
Lecturer
Department: 
Applied Statistics
School: 
School of Economics
College: 
College of Business and Economics(CBE)
Phone: 
(+250)788793493
E-mail: 
r.muremyi@ur.ac.rw
Educational Background: 
Currently Roger MUREMYI is a PhD holder in Data science, in option of Actuarial Sciences He earned master’s in Statistical Modelling and Actuarial Sciences obtained from University of Rwanda Since 2014 . He earned his Bachelor degree in Applied Mathematics, from National University of Rwanda 2009. He is a Lecturer at University of Rwanda, School of Economics , Department of Applied Statistics where he teaches the modules including Quantitative Methods, Business Mathematics, Basic Mathematics and Multivariate Analysis, Construction and Evaluation of Actuarial Models, Advanced Mathematics and Statistics for Economists. He is active researcher in Actuarial Sciences and Econometrics analysis where at least 5 publications have been published in international peer-reviewed journals. He spent four years at Catholic Institute of Kabgayi where he taught Mathematics for economists, Descriptive Statistics, econometrics and Business Mathematics since 2012 up to 2015. He worked as Tutorial Assistant of General Mathematics in Land survey Department at INES Ruhengeli since 2012-2013. Before spending four years in higher learning institutions, He worked as a teacher of Mathematics at Groupe Scolaire Remera Rukoma and College Appec Remera Rukoma at Kamonyi Disdrict Since 2007-2012. Roger has demonstrated enthusiasm for strengthening partnerships and collaboration within the academia, coupled with a strong commitment to diversity and intellectual adventurism. And he is able to think independently and analytically . Second e-mail: muremyiroger@yahoo.fr Areas of research interest: Machine Learning, Insurance Actuarial Sciences Biostatistics Time Series and Econometrics Analysis Mathematical and Statistical modeling
Research Interests and area of expertise : 
Pension Schemes, Machine Learning, Insurance, Actuarial Sciences, Biostatistics, Time Series and Econometrics Analysis, Mathematical and Statistical modeling
Publications: 

1. Muremyi R, Haughton D, Kabano I, Niragire F. Prediction of out-of-pocket health expenditures in Rwanda using machine learning techniques. Pan Afr Med J. 2020 Dec 21;37:357. doi: 10.11604/pamj.2020.37.357.27287. PMID: 33796171; PMCID: PMC7992429.

2. A. Mukamuhire, R. Muremyi, W. Gasafari Mpabuka, Testing Endogeneity of Money Supply: An Application to Rwandan Data AFRICAN JOURNAL OF APPLIED RESEARCH: Vol. 10 No. 1 (2024): African Journal of Applied Research

3. Muremyi R, Haughton D, Niragire F, Kabano I. A cross-sectional analysis of the impact of health insurance on the use of health care in Rwanda. Heliyon. 2023 Jun 10;9(6):e17086. doi: 10.1016/j.heliyon.2023.e17086. PMID: 37484315; PMCID: PMC10361221.

4. Muremyi R, Haughton D, Niragire F, Kabano I. A cross-sectional analysis of the impact of health insurance on the use of health care in Rwanda. Heliyon. 2023 Jun 10;9(6):e17086. doi: 10.1016/j.heliyon.2023.e17086. PMID: 37484315; PMCID: PMC10361221.

5. R. Muremyi, I. Laurianne,  W. Gasafari Mpabuka. The Impact of Rwanda's Education on Fertility, 2024 DOI: https://doi.org/10.26437/ajar.v10i1.685