Published multiple papers such as 'Continual learning via sequential function-space variational inference' (International Conference on Machine Learning, 2022), 'On Contrastive Representations of Stochastic Processes' (35th Conference on Neural Information Processing Systems, 2021), etc.
Research Experience
Serves as a Professor of Statistical Machine Learning at the Department of Statistics, University of Oxford, and a Research Scientist at Google DeepMind.
Background
Research interests include Bayesian nonparametrics, probabilistic learning, and deep learning. He is a Professor of Statistical Machine Learning at the Department of Statistics, University of Oxford and a Research Scientist at Google DeepMind. He is a European Research Council Consolidator Fellow and an Alan Turing Institute Faculty Fellow.