Research Overview

I am broadly interested in computational statistics and machine learning methodologies, and their applications in scientific and health-related disciplines. In particular, I am interested in (1) developing methodologies with strong relevance to applications, and (2) advancing our understanding of the underlying mechanisms behind existing, commonly used algorithms.

Currently, I am investigating how Bayesian optimisation and active learning, in combination with physics-informed Gaussian processes surrogate models, can help engineers and oceanographers to better understand ocean currents and inform their exploration strategies.