Introduction
I am a fifth-year Ph.D. student at the Center for Applied Mathematics at Cornell University advised by Professor Yunan Yang. My research focuses on developing robust data-driven methods for modeling dynamical systems under challenging conditions, such as noise, chaos, uncertainty, sparsity, and partial observability. To accommodate these data scenarios, I adopt a measure-centric perspective throughout my work and make frequent use of tools from optimal transport, ergodic theory, time-delay embedding, and machine learning. My Ph.D. research has been partially supported by an NDSEG Fellowship (Sep. 2022 - Aug. 2025). Before arriving at Cornell, I earned B.A.s in Mathematics and Physics at Amherst College in 2021. Please feel free to reach out to me at jrb482@cornell.edu.
Here is my CV. For more information, please navigate to any of the following pages: Projects, Publications, Talks, Teaching, Awards, Slides, and Interests.
