Professor Craig’s primary research goals are to use partial differential equations and optimal transport to develop the mathematical foundations of machine learning, motivated in part by challenges that arise when applying machine learning for scientific discovery in particle physics. She was just awarded an NSF Career Grant to pursue these goals.

 

NSF describes the CAREER program as offering their most prestigious awards in support of early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization.