Research centers on statistical learning theory and probabilistic machine learning: PAC-Bayes generalisation guarantees, Bayesian nonparametrics, and uncertainty quantification. Methods extend to sparse networks, sequential filtering, and data-scarce time-series forecasting; with work on responsible use of generative AI.