Robert Gaunt

Robert Gaunt is a Senior Lecturer in Probability and Statistics at The University of Manchester. His research focuses on probability theory, distributional analysis, and Stein's method, with a particular emphasis on random variables, special functions, and asymptotic methods. He holds a Doctor of Philosophy (2013) and Master of Mathematics (2009) from the University of Oxford. Gaunt has published over 70 research outputs, including studies on variance-gamma distributions, Bessel functions, and correlated normal variables.

His research interests span probability theory, statistical analysis, and mathematical statistics, with contributions to distribution theory, stochastic processes, and special functions. Recent work includes asymptotic expansions for random variable products, Stein characterizations, and bounds for integral approximations.

While no specific awards are listed, Gaunt's extensive publication record reflects his expertise in advanced probability topics. He has supervised 2 doctoral students and is open to further PhD supervision. His work often intersects with applications in financial mathematics and statistical modeling.