Regular biography
Professor Dan O Crisan is a Professor of Mathematics at Imperial College London, affiliated with the Department of Mathematics. His research interests are not explicitly detailed in the provided information. Professor Crisan's profile page indicates a link to his academic work, though specific details about his research areas, achievements, and publications are not included in the available data.
Scholar-generated biography
Dan Crisan is a Professor of Mathematics at Imperial College London, specializing in Stochastic Analysis, Data Assimilation, SPDEs, and Particle Approximations. His research focuses on developing and analyzing particle methods for sequential Monte Carlo and filtering problems, with applications in nonlinear filtering and stochastic differential equations. Crisan has contributed significantly to the theoretical foundations of particle filters, including their convergence properties and stability in high-dimensional settings. His work also explores connections between stochastic analysis and numerical methods for solving complex systems, such as the Kushner–Stratonovitch equation and McKean–Vlasov equations. His research has been published in leading journals and has influenced both theoretical and applied areas of stochastic processes.