I’m an assistant professor in the Department of Mathematics at the University of California, Riverside.
My work lies at the intersection of nonlinear dynamics, data science, and machine learning. I develop mathematical and computational methods to better understand complex systems, with applications to cardiology, and ecology and the climate. A central theme of my research is the study of tipping points and early warning signals in dynamical systems, and the design of tools that translate mathematical insight into practical scientific applications (TEDx talk).
PhD in Applied Mathematics, 2020
University of Waterloo, Canada
MMath in Mathematics and Theoretical Physics, 2015
University of Cambridge, United Kingdom
BA in Mathematics, 2014
University of Cambridge, United Kingdom