Assistant Lecturer | University of Rwanda | Rwanda
Mrs. Justine Dushimirimana is an accomplished Assistant Lecturer at the University of Rwanda, affiliated with the Mathematics Department, College of Science and Technology. She earned her Bachelor of Science in Applied Mathematics with First Class Honours and a Master of Science in Applied Mathematics, specializing in Statistical Modelling and Actuarial Sciences, from the University of Rwanda, where her master’s thesis was published in the African Journal of Applied Statistics (2021). Currently, she is pursuing a Ph.D. in Mathematical Statistics at the University of Nairobi, advancing the Generalized Growth Curve Model through improved parameter estimation and hypothesis testing and introducing tensor residuals for robust model adequacy assessment in spatio-temporal data. Her research spans multivariate statistics, focusing on the structure and estimation of covariance matrices, parameter estimation methods, hypothesis testing, and model diagnostics for complex datasets, with practical applications in environmental sciences. She has completed significant research projects, including her master’s thesis on calcium foliar feed effects on rose flowers, an NCST-funded project on predictive modeling of COVID-19 in Rwanda, and a University of Rwanda grant on multifluid cosmology in f(G) gravity, while her ongoing Ph.D. work further enhances statistical frameworks for tensor data analysis. Mrs. Dushimirimana has authored five publications in reputed journals and actively collaborates with distinguished researchers including Prof. Isaac K. Chumba, Prof. Joseph Nzabanita, Dr. Lydia Musiga, and Dr. Ronald Waliaula Wanyonyi. She is a member of the Eastern Africa Network for Women in Basic Sciences (EANWoBAS) and the Eastern Africa Universities Mathematics Programme (EAUMP) research network. Her innovative contributions, particularly the formulation of the general trilinear hypothesis and development of tensor residuals, have strengthened model diagnostics, inference accuracy, and decision-making in multivariate and spatio-temporal analyses. Recognized for her academic rigor, research excellence, and collaborative spirit, Mrs. Dushimirimana exemplifies a rising leader in mathematical statistics whose work significantly impacts both theoretical and applied domains.
Profiles: Scopus | ORCID | ResearchGate
Featured Publications
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Dushimirimana, J., Chumba, I. K., Musiga, L., Nzabanita, J., & Waliaula Wanyonyi, R. (2025). Test for a general trilinear hypothesis in the generalized growth curve model. Journal of Multivariate Analysis, 210, 105470. https://doi.org/10.1016/j.jmva.2025.105470
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Ntahompagaze, J., Twagirayezu, F., Ayirwanda, A., Munyeshyaka, A., Mukeshimana, S., Ruganzu Uwimbabazi, L. F., & Dushimirimana, J. (2025). On 1 + 3 covariant perturbation with Chaplygin-stiff fluid system in modified Gauss-Bonnet gravity. Rwanda Journal of Engineering, Science, Technology and Environment, 7(1), 1–15. https://doi.org/10.4314/rjeste.v7i1.1
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Ngaruye, I., Nzabanita, J., Masabo, E., Gahamanyi, M., Nyandwi, B., Dushimirimana, J., Ndanguza, D., Mpinganzima, L., Kurujyibwami, C., & Ruganzu Uwimbabazi, L. F. (2025). The effect of meteorological factors on extreme COVID-19 infection in Rwanda: The generalized additive extreme value modeling approach. Rwanda Journal of Engineering, Science, Technology and Environment, 7(1), 8–21. https://doi.org/10.4314/rjeste.v7i1.8
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Ndanguza, D., Ngendahayo, J. P., Uwimana, A., Niyigena, J. D., Mbalawata, I. S., Ngaruye, I., Nzabanita, J., Masabo, E., Gahamanyi, M., Nyandwi, B., Ngaruye, I., Dushimirimana, J., & Waliaula Wanyonyi, R. (2024). Analysis of the COVID-19 pandemic in Rwanda using a stochastic model. Mathematics Open, 3(1), 1–15. https://doi.org/10.1142/s281100722350013x
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Mpinganzima, L., Ntaganda, J. M., Banzi, W., Muhirwa, J. P., Nannyonga, B. K., Niyobuhungiro, J., Rutaganda, E., Ngaruye, I., Ndanguza, D., Nzabanita, J., & Dushimirimana, J. (2023). Compartmental mathematical modelling of dynamic transmission of COVID-19 in Rwanda. IJID Regions, 5, 1–10. https://doi.org/10.1016/j.ijregi.2023.01.003