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.