Nathan Waniorek

Nathan is a PhD candidate in Computational and Applied Mathematics at the University of Chicago, where he is fortunate to be advised by Daniel Sanz-Alonso. He is interested in problems at the intersection of applied mathematics, computational science, and statistics. More concretely, his research has focused on inverse problems, data assimilation, and scientific machine learning.