Rogelio Lopez Bonilla is a mathematics educator and researcher with interests in applied mathematics, graph theory, combinatorics, mathematical modeling, machine learning, and computational methods. He serves as a mathematics instructor and has conducted research in areas including chromatic polynomials, transfer-matrix methods, spectral graph theory, and data-driven modeling. He earned a Master's of Science in Applied Mathematics from Elizabeth City State University and has participated in research collaborations involving mathematics, materials science, and machine learning applications. His work focuses on developing mathematical frameworks and computational techniques for analyzing complex systems and solving interdisciplinary scientific problems.