My general area of research is **uncertainty quantification**, at the intersection of applied mathematics, probability, statistics, and computational science.
A common theme underlying many of my current research interests is to add ‘the right amount of uncertainty’ to an otherwise certain or near-certain prediction, in order to correctly compensate for over-confidence in the modelling process.
In the words of Julian Baggini:

The mark of a mature, psychologically healthy mind is indeed the ability to live with uncertainty and ambiguity, but only as much as there really is.

- Outlines of some research topics
- List of academic publications
- List of conferences, talks, and other academic gatherings

My research is funded by the Free University of Berlin within the Excellence Initiative of the German Research Foundation (DFG).