Daniel Sanz-Alonso

Assistant Professor
Department of Statistics and the College

Daniel Sanz-Alonso
Office:
Jones 113

Research

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.