MOUSSA DOUMBIA

Dr. Moussa Doumbia combines expertise in data science and mathematical biology as a faculty member at Howard University, where he earned his Ph.D. in Mathematics. His research spans multiple disciplines, focusing on modeling infectious diseases and developing mathematical models for biological systems. As a data scientist, he specializes in deep learning, big data engineering, predictive modeling, and natural language processing. His academic work includes developing parametric models for studying malaria incidence in Mali and Nigeria, while his teaching encompasses both traditional mathematics and modern data science applications. A multilingual scholar speaking English, French, Mangding, and Spanish, he brings diverse perspectives to his work in mathematical biology and data analysis. His expertise extends to creating efficient equations and models that utilize field and laboratory data, contributing to both theoretical research and practical applications in disease modeling.