Daniel Sanz-Alonso

Since 2018, I am an Assistant Professor in the Department of Statistics at the University of Chicago, where I am a member of the Committee on Computational and Applied Mathematics. Previously, I was a postdoctoral research associate and a member of the Data Science Initiative at Brown University. In 2016 I completed my PhD in Mathematics and Statistics at the University of Warwick, UK, under the supervision of Andrew Stuart and Gareth Roberts.

My research interests are in graph-based learning, inverse problems and data assimilation. The main theme that drives my research across these three disciplines is the desire to blend complex preditive models with large data-sets. My work addresses both theoretical and compuational challenges motivated by data-centric applications.

My work is currently funded by the National Science Foundation, the National Geospatial-Intelligence Agency and the BBVA Foundation. I have been awarded the 2020 José Luis Rubio de Francia prize to the best Spanish mathematician under 32 by the Spanish Royal Society of Mathematics.

I am the organizer of the CAM Colloquium.