Compass Research Areas

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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 incorporates world-leading statisticians and data scientists, and experts from the Faculties of Health Sciences, Engineering, Social Sciences and Law and Life Sciences.

PhD projects and supervisors are matched to students during the first year of the programme. Full-time research project work starts in October of the second year. Read more about the PhD project allocation process here.  


Our PhD research topics range from statistical theory and methods to collaborations with experimental scientists and businesses.

Bayesian Modelling and Computation

Christophe Andrieu | Mark Beaumont | William Browne | Matteo FasioloPeter Green | Mathieu Gerber | Daniel Lawson | Anthony Lee | Vladislav TadicMax Werner | Nick WhiteleyFeng Yu | Dennis Prangle | Robert Allison

Bioinformatics and Genetics

Christopher Andrieu | Daniel Lawson | Patrick Rubin-Delanchy


Daniel Lawson | Patrick Rubin-Delanchy | Sidharth Jaggi | Ayalvadi Ganesh

High-Dimensional and Highly-Structured Data

Haeran Cho | Peter Green | Oliver Johnson | Daniel Lawson | Anthony Lee | Henry ReevePatrick Rubin-Delanchy | Feng Yu | Sidharth Jaggi

High Performance Computing 

Anthony Lee | Simon McIntosh-Smith | Nick Whiteley | Robert Allison


Alin Achim | David Bull | Mark Cannell Andrew Dowsey | Peter Green | Majid Mirmehdi

Information Theory 

Oliver Johnson | Sidharth Jaggi

Longitudinal Data

William Browne | Matteo FasioloGeorge Leckie | Liz Washbrook

Machine Learning and AI

Nello Cristianini | Peter Flach | Song Liu | Henry ReevePatrick Rubin-DelanchyNick Whiteley | Max Werner | Laurence Aitchison | Emmanouil Tranos | Robert Allison

Medical Sciences and Causality 

Andrew Dowsey | Dan Lawson | Jonathan Sterne | Kate Tilling | Nicky Welton | Feng Yu

Multilevel Modelling

William Browne Kelvyn Jones | George Leckie | Levi Wolf

Multiscale Methods

Haeran Cho | Arne Kovac


Haeran Cho | Sidharth Jaggi | Ayalvadi Ganesh | Emmanouil Tranos

Spatial Statistics

William Browne Matteo FasioloKelvyn Jones | Levi Wolf | Max Werner | Emmanouil Tranos

Stochastic Models for Life Sciences

Mark Cannell | Matt Jones 

Times Series

David Bull | Haeran Cho Matteo Fasiolo | Song Liu | Vlad Tadic | Feng Yu

Uncertainty Assessment and Risk

Jeremy C Phillips | Max Werner

The Data Science behind COVID Modelling 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.  

Students talking to tutor about research opportunities

'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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