Dr.Moussa Doumbia is an educator and researcher with a Ph.D. in mathematics from Howard University (2017) and a bachelor’s degree in mathematics from the University of the District of Columbia (2007). Dr. Doumbia has made significant contributions to data science and mathematics education. He has designed, implemented, and taught an introductory data science course and played an instrumental role in launching a mathematics major with a concentration in data science at Howard University.

He is a key faculty member of the Virtual Applied Data Science Training Institute, VADSTI, and has been instrumental in the advancement of data science education. He was a participant of the Microsoft Visiting Data Science Professor Program in the summer of 2021 and co-developer of Howard University’s Coursera course entitled “Linear Algebra for Data Science Using Python.” His other collaborative efforts include those from the Social Network Research Program, a collaborative effort between Howard University, the University of Delaware, and the NSA, 2020-21.

Dr Doumbia is currently a Visiting Professor at United States Military Academy West Point from June 2024 to June 2025. His area of research concerns with differential privacy, application of Ordinary Differential Equations to model infectious diseases, optimum control theory concerning vector borne disease, and quantum computation, mathematics, and physics. Dr. Doumbia has a publication on malaria incidence and asymptomatic malaria infections and has supervised many student projects related to COVID-19 data analysis and predictive modeling. His excellence in teaching and research has been recognized with several awards, including the Outstanding Faculty of the Mathematics Department (2021-2022) and the Best Oral Presenter award at Howard University’s Research Day (2013).

This was in addition to academic excellence. Dr. Doumbia attended several conferences, workshops, and invited talks regarding malaria infection, differential privacy, and mathematical modeling. Through such, students and researchers still consider him one who inspires the growth and development of data science and mathematics as an area. Finally, among others, the topics of interests concerning him in the research view entailed machine learning, NLP, differential privacy, and Precision Health. He also maintains on theoretical investigations and modeling of infectious diseases such as Malaria, TB, H1N1, Ebola.