I am currently a Senior Researcher in Statistical Machine Learning and Leader of the RainML (rainml.uk) Research Lab.  Prior to this, I was a Junior Research Fellow in Computer Science at Christ Church College, and before that I was a postdoc working with Yee Whye Teh.  I originally studied Mechanical Engineering (MEng) at the University of Cambridge, while I did my DPhil in Oxford under the supervision of Frank Wood and Michael Osborne, focusing mostly on probabilistic programming and Monte Carlo methods.  I also had a stint working in the Ferrari Formula 1 team in between the two periods of study.

Personal website: https://www.robots.ox.ac.uk/~twgr/

My research covers a wide range of topics in and around statistical machine learning and experimental design, with areas of particular interest including: 

• Bayesian experimental design
• Probabilistic and data-efficient approaches to machine learning
• Active learning
• Deep learning, with a particular focus on probabilistic approaches, deep representation learning, and deep generative models
• Probabilistic programming
• Approximate inference and Monte Carlo methods

Please see my Google Scholar page for an up-to-date list of publications.