Education
Ph.D. in Mathematical Statistics and Interdisciplinary Applications, University of Texas Rio Grande Valley
M.Sc. in Applied Mathematics, University of Silesia in Katowice (Poland)
M.Sc. in Mathematical Engineering, University of L’Aquila (Italy)
B.Sc. (Honors) in Mathematics, University of The Gambia (The Gambia)

Teaching and Research Interests / Recent Publications or Scholarly Output
My teaching and research interests lie at the intersection of applied mathematics, data science, and artificial intelligence, with a strong emphasis on real-world problem solving. In teaching, I focus on making quantitative concepts accessible and relevant, particularly in courses such as calculus, linear algebra, numerical analysis, statistics, quantum physics and information theory, and data science, while integrating computation and visualization to enhance student learning. My research centers on AI-driven analytics, scientific computing, and mathematical modeling, with applications in healthcare diagnostics, image processing, and climate and engineering systems. Recent scholarly work includes peer-reviewed publications on neural networks and p-adic PDE-based image processing, contributions to scientific software development for high-performance computing, and applied optimization research, alongside ongoing interdisciplinary projects that bridge theory, computation, and practical impact.