Ben Hambly

Ben Hambly is a Research Fellow in the Department of Mathematics at the University of Oxford. His research interests include probability, stochastic processes, mathematical finance, and fractals. Hambly's work focuses on areas such as stochastic analysis, random matrix theory, and systemic risk modeling. He has contributed to the study of McKean-Vlasov equations, stochastic partial differential equations, and optimal control problems. His recent publications appear in journals such as the Annals of Applied Probability, Finance and Stochastics, and Stochastic Processes and their Applications. His research is supported by the Mathematical Institute at the University of Oxford.

Ben Hambly is a researcher in Probability, stochastic analysis, and mathematical finance. His work explores advanced topics such as reinforcement learning in finance, Monte Carlo methods for option valuation, and transition density estimates for Brownian motion on fractals. He also investigates policy gradient methods, systemic risk models, and stochastic evolution equations in portfolio credit modeling. His research spans both theoretical and applied areas, including percolation clusters, random conductance models, and SPDEs for systemic risk. Hambly's contributions focus on understanding complex stochastic systems and their applications in financial markets and mathematical physics.