Floris Persiau

Dr. Floris Persiau is a Visiting Postdoctoral Fellow at Carnegie Mellon University's Department of Philosophy, conducting research at the intersection of imprecise probabilities and algorithmic randomness. His work develops uncertainty models for conservative reasoning under limited information conditions.

Education includes an engineering physics degree from Ghent University. Current projects include: characterizing randomness notions through minimal property satisfaction, and analyzing convergence behavior in imprecise Markov chains through collaborative research with European institutions.

Research examines imprecise forecasting systems as sets of probability measures, generalizing classical randomness concepts to provide new frameworks for understanding random sequences. His approach combines mathematical rigor with philosophical foundations in uncertainty quantification.