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Bio:
Hayden Schaeffer is a Professor of Mathematics at the University of California, Los Angeles. His research is in mathematical and scientific machine learning, differential equations, randomization, and modeling. He has received an NSF CAREER award and an AFOSR Young Investigator Award. Previously, he was an NSF Mathematical Sciences Postdoctoral Research Fellow, a von Karman Instructor at Caltech, a UC President’s Postdoctoral Fellow at UC Irvine, an NDSEG Fellow, and a Collegium of University Teaching Fellow at UCLA.
Office:
Mathematical Sciences Building 7931
Email:
hayden at math dot ucla another dot edu
Research Interests
Scientific Machine Learning: Operator Learning and PDE Foundation Models
Approximation Theory
Applied Harmonic Analysis
Applied Probability
Mathematical Modeling
Nonlinear Differential Equations
Inverse Problems and PDE
Short CV
Professor, Department of Mathematics, UCLA, since 2023
Associate Professor with Tenure, Mathematical Sciences, Carnegie Mellon University, 2022-2023
Associate Professor, Mathematical Sciences, Carnegie Mellon University, 2019-2022
Assistant Professor, Mathematical Sciences, Carnegie Mellon University, 2015-2019
von Karman Instructor and NSF Mathematical Sciences Postdoctoral Fellow, Caltech, 2014-2015
NSF Mathematical Sciences Postdoctoral Fellow and UC President's Postdoctoral Fellow, UC Irvine, 2013-2014
PhD in Mathematics, UCLA, 2013
Below are highlights of some of my group's recent results:
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