معرفی
Professor Chris Sherlock is a Professor of Statistics at Lancaster University, affiliated with the School of Mathematical Sciences and the Department of Mathematics and Statistics. His research spans MCMC theory, methodology, and applications in epidemiology, ecology, and environmental science, with a focus on stochastic processes (SDEs, hidden Markov models) and spatial statistics.
- Key research areas: Non-reversible MCMC algorithms (e.g., Bouncy Particle Sampler), pseudo-marginal methods, and inference for reaction networks.
- Recent publications address flood risk estimation, scalable Bayesian learning, and clinical trial recruitment prediction using novel MCMC frameworks.
He leads the Computational Statistics group (2019-present) and the MARS UG program (2024-present). Supervised PhD students have explored topics like extreme value theory, particle filters, and disease modeling. Collaborations include researchers such as Paul Fearnhead, Chris Nemeth, and Andrew Golightly, with EPSRC funding (EP/P033075/1) supporting non-reversible MCMC innovations.
