Daniel Sanz-Alonso

Assistant Professor, Department of Statistics
Committee on Computational and Applied Mathematics (CCAM)

Daniel Sanz-Alonso
Jones 113


My research interests are in data assimilation and inverse problems, machine learning, computational statistics, applied probability and uncertainty quantification. My aim is to set forth the Bayesian formulation and mathematical analysis of pressing scientific questions involving data, and to develop and analyze sampling algorithms for efficient numerical simulations.