Raphael Ndahimana

Raphael Ndahimana is a Rwandan clinical researcher and data scientist with multidisciplinary training in epidemiology, biostatistics, and data science. He holds a Master of Science in Epidemiology and Biostatistics from the University of Rwanda and an advanced certification in Applied Data Science from WorldQuant University. He is currently completing a second Master’s degree in Information Technology with a specialization in Big Data Analytics and is pursuing a PhD in Experimental Medicine (Pre-clinical Drug Testing) at the University of Gothenburg, Sweden. Raphael earned his Bachelor’s degree in Clinical Medicine and Community Health from the University of Rwanda and currently serves as an Assistant Lecturer of Biostatistics at the University of Rwanda, School of Health Sciences. He has published extensively in epidemiology and public health, with particular contributions in nutrition and population health research. Previously, he served as Director of Research and Implementation at Africa Quantitative Sciences and is currently the President of the Research Committee at the Rwanda Medical Clinical Officers Organization (RMCOO). He also coordinates Phase III malaria clinical trials in Rwanda, with a focus on antimalarial drug resistance, under the MORU consortium—a collaboration between the University of Oxford and Mahidol University (Thailand)—in partnership with the University of Rwanda. In addition, he works as a Research Associate at the Center for Human Genetics, College of Medicine and Health Sciences, University of Rwanda. A dedicated mentor, Raphael has supervised and mentored over 24 students from undergraduate to PhD levels between 2018 and 2025, supporting theses and peer-reviewed publications across Medicine, Digital Health, Data Science, and Social Sciences. His mentees have been drawn from institutions including the University of Rwanda and the University of Alberta (Canada). With extensive experience in national and international research projects, Raphael has led initiatives in clinical trials, digital health implementation, and health systems evaluation. His research interests include digital health, malaria drug efficacy and resistance, maternal and adolescent health, and health systems strengthening. He is an author and co-author of multiple peer-reviewed publications and has presented his work at numerous national and international scientific conferences. Raphael also serves as a peer reviewer for Frontiers in Global Women’s Health and Frontiers in Nutrition. He is proficient in both quantitative and qualitative research methodologies and has advanced expertise in R, STATA, SPSS, Python, Jamovi, RevMan, NVivo, ATLAS.ti, and Dedoose. He is trained in Good Clinical Practice (GCP), systematic reviews, and advanced data analytics. His work is driven by a strong commitment to leveraging data-driven evidence to inform health policy and improve healthcare outcomes in Africa and globally.