Kathleen Champion is a Postdoctoral Research Associate at the University of Washington, Seattle, Washington, United States of America. She received her Ph.D. from UW Applied Math in the summer of 2019. In the Fall of 2019, she participated in the Machine Learning for Physics long program at the Institute for Pure and Applied Mathematics (IPAM) at UCLA. As a part of my postdoc, She also working to develop an open-source software package for dynamical systems model discovery.
Before coming to UW, she received her BA in Mathematics from Dartmouth College. Her undergraduate thesis, advised by Alex Barnett and Amy Gladfelter, focused on using Markov chain Monte Carlo for tracking nuclei in microscopy videos. After Dartmouth she spent three years at the Johns Hopkins University Applied Physics Laboratory, working primarily on the development of software tools for processing LIDAR sensor data.