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- Lecturer in Statistical Science
- Dept of Statistical Science
- Faculty of Maths & Physical Sciences
Prior to joining UCL, Dr Briol did his undergraduate degree and PhD at the University of Warwick. His PhD was part of the joint centre for doctoral training between the departments of Statistics at Warwick and Oxford. Dr Briol then spent a year as a postdoctoral researcher, first in the department of Mathematics at Imperial College London, then in the Department of Engineering at the University of Cambridge.




Dr Briol's research focuses on building statistical and machine learning methods which enable the use of large-scale models in the physical, environmental and engineering sciences. He focuses on both foundational and computational problems. On the foundational side, Dr Briol is developing methods to merge large-scale models with data, focusing on robustness to model misspecification. On the computational side, his work focuess on algorithms which can make use of the structure of these complex models to vastly reduce the associated computational challenges.
01-DEC-2019 | Group Leader in Data-Centric Engineering | Data-Centric Engineering Programme | The Alan Turing Institute, United Kingdom |
01-AUG-2019 | Lecturer in Statistical Science | Statistical Science | University College London, United Kingdom |
01-MAR-2019 – 31-JUL-2019 | Research Associate | Department of Engineering | University of Cambridge, United Kingdom |
01-JUL-2018 – 01-MAR-2019 | Research Assistant | Department of Mathematics | Imperial College London, United Kingdom |