Biography
I am a Tenure-Track Assistant ProfessorAssistant Professor of Applied Mathematics at McNeese State University, where I work at the intersection of mathematics, machine learning, and real-world applications. My research focuses on topological deep learning, higher-order neural networks, and their applications to cyber-physical systems.
I am particularly interested in the Koopman operator framework for analyzing nonlinear dynamical systems, developing data-driven methods to approximate Koopman semigroups, and integrating abstract mathematical structures with cutting-edge machine learning techniques.
My work is driven by both theoretical curiosity and practical impact, with the goal of creating foundational tools that help us better understand and control complex systems in science, engineering, and artificial intelligence.