Keynote Speakers

David Bolin leads the Stochastic Processes and Mathematical Statistics research group at KAUST, which develops methodology for statistical models involving stochastic processes and random fields. A main focus is the development of statistical methods based on stochastic partial differential equations (SPDEs), and some current areas of research are random fields on metric graphs and networks, stochastic processes formulated through fractional-order SPDEs, and non-Gaussian random fields.

Peter Grünwald is founder and former head of the at  in Amsterdam, the Netherlands, as well as full professor of statistics at the  of Leiden University. He is interested in making statistical inference at the same time more robust and flexible using e-processes and related tools. In 2024 he received an ERC Advanced Grant for doing just this, in a project ranging from the very fundamental (a bridge between Bayesian and frequentist statistics) to the very applied (e-processes for generalized linear models). Earlier (and still related) work include a monograph on the Minimum Description Length (MDL) principle as well as various papers on adjusting Bayesian and MDL methods under misspecification.