Department of Mathematical Sciences
Dr Kari Heine
Kari is interested in Monte Carlo methods, especially in the development of efficient sequential Monte Carlo methods for high dimensional filtering problems, keeping in mind the parallelism of the algorithms, which plays an important role with modern computing architectures. The analysis often involves the theory of Markov processes and martingales. He is also interested in the development of computational methods for applications in population genetics, e.g. Bayesian inference on ancestral recombination graphs.
Kari Heine on the University of Bath Research Portal
Andreas was instrumental in the development of SAMBa and was Co-Director from its inception until the end of 2022. He has left the University of Bath to take up the role of Chair of Probability at the University of Warwick.
Tom’s research interest is in medical statistics, with a particular focus on the design and analysis of adaptive clinical trials.