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