My research currently focuses on both theoretical and practical issues related to uncertainty. On the theoretical level, I investigate questions related to the underlying structures facilitating the representation of uncertainty as a probability, generally within a Bayesian framework. On the practical level, I investigate questions related to decision-making under uncertainty in the face of climate related risks, such as extreme weather events and climate tipping points. To facilitate this work I have been awarded a research grant from the Swiss National Science foundation (outlined below).

I also have wider research interests in aspects of complexity science, including climate change and machine learning, as well as issues related to expertise in science. I am always open to discussing ideas, whether informally or through a research collaboration.