Compass Research Areas
The core of Compass is the Institute for Statistical Science in the School of Mathematics, integrated with internal partners from across the University and external partners from industry and government.
Our team of PhD supervisors (listed below) incorporates world-leading statisticians and data scientists, and experts from the Faculties of Health Sciences, Engineering, Social Sciences and Law and Life Sciences.
- Student Research Topics for 2019/20
- Student Research Topics for 2020/21
- Student Research Topics for 2021/22
- Student Research Topics for 2022/23
Our PhD students research topics ranging from statistical theory and methods to collaborations with experimental scientists and businesses.
Bayesian Modelling and Computation
Christophe Andrieu | Mark Beaumont | William Browne | Matteo Fasiolo | Peter Green | Mathieu Gerber | Daniel Lawson | Anthony Lee | Vladislav Tadic | Max Werner | Nick Whiteley | Feng Yu | Dennis Prangle | Robert Allison | Sam Power | Juliette Unwin
Bioinformatics and Genetics
High-Dimensional and Highly-Structured Data
High Performance Computing
Machine Learning and AI
Medical Sciences and Causality
Stochastic Models for Life Sciences
Uncertainty Assessment and Risk
Watch the video where Dr Daniel Lawson (Compass CDT Co-Director) talks about the Data Science behind Bristol's COVID Modelling.
Bristol’s Faculty of Science has been shown to lead the UK in the most recent national research assessment exercise, REF2021 across its five Units of Assessment (UOAs) according to the Times Higher Education analysis. Read more here.
'Earth Sciences is a very data-intensive research field and with lots of opportunities for researchers with depth and breadth in computational and statistical methods for make big leaps in our understanding of fundamental problems.' Dr Maximilian Werner, School of Earth Science, University of Bristol