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.
Discover:
- 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
Christopher Andrieu | Daniel Lawson | Patrick Rubin-Delanchy
Cybersecurity
Daniel Lawson | Patrick Rubin-Delanchy | Sidharth Jaggi | Ayalvadi Ganesh
High-Dimensional and Highly-Structured Data
Haeran Cho | Peter Green | Oliver Johnson | Rihuan Ke | Daniel Lawson | Anthony Lee | Henry Reeve | Patrick Rubin-Delanchy | Feng Yu | Sidharth Jaggi
High Performance Computing
Anthony Lee | Nick Whiteley | Robert Allison
Imaging
Andrew Dowsey | Peter Green | Rihuan Ke
Information Theory
Oliver Johnson | Sidharth Jaggi
Longitudinal Data
Matteo Fasiolo | Katarzyna Reluga
Machine Learning and AI
Rihuan Ke | Song Liu | Henry Reeve | Patrick Rubin-Delanchy | Nick Whiteley | Max Werner | Laurence Aitchison | Emmanouil Tranos | Robert Allison | Katarzyna Reluga
Medical Sciences and Causality
Andrew Dowsey | Dan Lawson | Jonathan Sterne | Kate Tilling | Nicky Welton | Feng Yu | Juliette Unwin | Katarzyna Reluga
Multilevel Modelling
William Browne| Levi Wolf | Katarzyna Reluga
Multiscale Methods
Networks
Haeran Cho | Sidharth Jaggi | Ayalvadi Ganesh | Emmanouil Tranos
Spatial Statistics
Matteo Fasiolo | Levi Wolf | Max Werner | Emmanouil Tranos
Stochastic Models for Life Sciences
Times Series
Haeran Cho | Matteo Fasiolo | Song Liu | Vlad Tadic | Feng Yu
Uncertainty Assessment and Risk
The Data Science behind COVID Modelling
Watch the video where Dr Daniel Lawson (Compass CDT Co-Director) talks about the Data Science behind Bristol's COVID Modelling.
Faculty of Science excels in the Research Excellence Framework (REF) 2021
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
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