Dr. Moussa Doumbia, a distinguished faculty member in the Department of Mathematics at Howard University, Washington, D.C., is renowned for his data science and education expertise. His work in deep learning and big data engineering has made him a leading figure in data science and machine learning.

In his career, Dr. Doumbia has focused on enhancing data science education. He created and taught Howard University’s introductory data science course and was pivotal in developing a data science-focused mathematics major. His efforts have significantly integrated data-driven methodologies into the curriculum.

Dr. Doumbia also extends his knowledge through the Virtual Applied Data Science Training Institute (VADSTI), impacting the broader data science community. In 2021, he joined the prestigious Microsoft Visiting Data Science Professor Program, showcasing his advanced expertise.

He co-created Howard University’s Coursera course, “Linear Algebra for Data Science Using Python,” making essential data science tools accessible globally. His research, including a collaboration with Howard University, the University of Delaware, and the NSA, addresses complex challenges through data science.

Recognized as “Best Faculty of the Year 2021-2022,” Dr. Doumbia also leads research in the mathematical modeling of infectious diseases, funded by a significant grant. His passionate integration of mathematics and data science continues to influence research and education.