Dudley Stark

Dudley Stark is a Reader in Mathematics and Probability at the School of Mathematical Sciences, Queen Mary University of London. He holds a BA in Mathematics and BS in Physics from the University of Rochester, an MA in Mathematics from UCLA, and a PhD in Mathematics from the University of Southern California. Prior to his current role, he held postdoctoral positions at the University of Zurich, University of Melbourne, and Hewlett Packard Laboratories in Bristol, and was a visiting scholar at Green-Templeton College (University of Oxford) and on secondment to the University of Bristol.

His research focuses on probabilistic and enumerative combinatorics, random combinatorial objects (e.g., permutations and graphs), Poisson approximation, generating functions, and asymptotic expansions. He teaches courses such as Bayesian Statistical Methods and Advanced Derivatives Pricing and Risk Management. His work spans over 30 years, with contributions to stochastic processes, graph theory, and combinatorial probability. His research has been published in top journals like Stochastic Processes and Their Applications, Discrete Mathematics, and Advances in Applied Mathematics.

Stark collaborates with institutions globally and contributes to the Centre for Combinatorics, Algebra and Number Theory. His expertise includes random graph theory, asymptotic enumeration, and applications of probabilistic methods in combinatorial structures.