Matt Skerritt

Dr. Matt Skerritt is a Lecturer in Applied Mathematics at the School of Science, RMIT University, located at City Campus, Australia. His research focuses on Applied Mathematics, Pure Mathematics, and Numerical and Computational Mathematics. He specializes in optimization algorithms, number theory, and computational methods, with notable contributions to the Douglas-Rachford method, Giuga’s primality conjecture, and algorithm extensions like the PSLQ algorithm. He also explores educational tools using software such as Mathematica and Maple, emphasizing computational learning and pedagogy. His work bridges theoretical mathematics with practical applications in computational science and education.

Research interests include the dynamics of iterative methods, integer relations, and primality testing, alongside the development of educational resources for computational mathematics. His publications span topics like geometric algorithms, numerical analysis, and symbolic computation, reflecting a commitment to advancing both theoretical and applied mathematical research.