Dr. Moussa Doumbia, a faculty member in Howard University’s Department of Mathematics, is renowned for his data science and education contributions. His expertise in deep learning and extensive data engineering has established him as a respected data scientist and machine learning expert.

Dr. Doumbia developed and taught an introductory data science course at Howard University, significantly enriching the academic curriculum. He was instrumental in creating a mathematics major with a data science focus, emphasizing data-driven methodologies.

Beyond his university role, Dr. Doumbia contributes to the Virtual Applied Data Science Training Institute (VADSTI), enhancing data science skills among diverse learners. He was also a visiting professor in the Microsoft Visiting Data Science Professor Program in 2021.

Dr. Doumbia co-created Howard University’s Coursera course, “Linear Algebra for Data Science Using Python,” expanding his educational impact globally. His research includes collaborating with the National Security Agency’s Social Network Research Program, focusing on data science applications in complex challenges.

Recognized as the “Best Faculty of the Year 2021-2022,” Dr. Doumbia also secured a significant grant for research in the mathematical modeling of infectious diseases. His work integrates data science and mathematics, advancing academic and scientific fields.