von Karman Instructor in Computing and Mathematical Sciences
Degrees and Appointments
B.S., Massachusetts Institute of Technology, 2014; M.S., 2017; Ph.D., 2021. Caltech, 2021-22
Elizabeth Qian’s research seeks to develop scalable computational methods to enable and enhance decision-making in engineering, scientific, and medical applications. In particular, her work focuses on the development of principled low-dimensional model approximations through model reduction and scientific machine learning, and on designing multi-fidelity formulations for optimization and uncertainty quantification that embed these approximations in decision-making settings.