Capstone: Data Science Problem in Linear Algebra Framework

Dr. Dennis Davenport has built an impressive career dedicated to advancing mathematics education and diversity in STEM fields since earning his Ph.D. from Howard University. His journey includes significant contributions at Miami University, where he founded the Summer Undergraduate Mathematical Science Research Institute (SUMSRI) targeting underrepresented groups and women, and established the Mathematical Enrichment Program (MEP). He directed the Miami University program of the Ohio Science and Engineering Alliance (OSEA), part of the NSF Louis Stokes Alliance for Minority Participation program, and served as a Visiting Scientist at NSF (2000-2002, 2009-2011) and as a Visiting Professor at the United States Military Academy (2004). Currently at his alma mater Howard University, he serves as Graduate Director and Associate Chair in the Mathematics Department, chairs the American Mathematical Society's Policy Committee on Equity, Diversity, and Inclusion, and since 2018 has directed an innovative REU program combining summer research with year-round academic engagement for students.

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.