Daniel Sanz-Alonso


I am an Assistant Professor in the Department of Statistics at the University of Chicago. 

My research interests are in data assimilation, inverse problems, machine learning, computational statistics, 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.


Subpages (3): CV Research Teaching