simulation-based inference

Dan Leonte

Postdoctoral Research Fellow, Statistics

simulation-based inference neural inference methods Spatial and spatio-temporal statistics ambit fields

Dan obtained his PhD in Mathematics in 2024 from Imperial College London and the University of Oxford, UK, with a thesis titled "Simulation methods, parameter inference and forecasting for trawl processes and ambit fields". He is now a postdoctoral researcher at the King Abdullah University of Science and Technology (KAUST), working in the XSTAT group under Prof. Raphaël Huser's supervision. Education and Early Career Dan obtained his PhD in Mathematics in 2024 from Imperial College London and the University of Oxford, UK. He joined KAUST as a postdoc in April 2025. Research interests Dan's

Matthew Sainsbury-Dale

Research Scientist, Statistics

amortized inference Deep learning machine learning simulation-based inference Spatial and spatio-temporal statistics Statistics of extremes