Roger Thelwell

Roger Thelwell is a Professor of Applied Mathematics at the Department of Mathematics & Statistics, James Madison University (JMU), where he has been since 2007. His research focuses on differential equations, inverse problems, automatic differentiation, and Taylor methods. He holds a PhD in Mathematics (2004) and MS in Mathematics (2002) from Colorado State University, along with a BA from St. Mary's College of Maryland (1991).

His research interests emphasize the sensitivity and stability of solutions to differential equations, with applications in computational methods and educational pedagogy. Notable contributions include studies on chaotic systems (e.g., the sandwheel model) and the integration of automatic differentiation techniques with power series methods. His work bridges theoretical mathematics with practical computational tools, impacting both academic research and educational practices.

• Education:
• PhD in Mathematics, Colorado State University (2004)
• MS in Mathematics, Colorado State University (2002)
• BA, St. Mary's College of Maryland (1991)

His publications explore interdisciplinary topics such as forced differential equations in education and algorithmic differentiation. While no awards or grants are explicitly listed, his work reflects sustained contributions to applied mathematics and computational science.