Breadcrumb
Dr Tom Rainforth
Senior Researcher in Statistical Machine Learning
Biographical sketch
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/
Research Interests
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.
Publications
Contact Details
Email: rainforth@stats.ox.ac.uk
Office: 1.06
Pronouns: He/Him
Research Groups
Graduate Students
Alex Forster
Angus Phillips
Freddie Bickford Smith
Guneet Singh Dhillon
Andrew Campbell
Desi Ivanova
Jannik Kossen
Ning Miao
Tim Reichelt
Mrinank Sharma
Yuyang Shi
Shahine Bouabid
Jin Xu