Elizabeth Qian joined the Daniel Guggenheim School in November 2022. She holds a joint appointment at Georgia Tech as Assistant Professor in the Schools of Aerospace Engineering and Computational Science and Engineering. Her interdisciplinary research develops new computational methods to enable engineering design and decision-making for complex systems. Her specialties are in developing efficient surrogate models through model reduction and scientific machine learning, and in developing multifidelity approaches to accelerate expensive computations in uncertainty quantification, optimization, and control.
Elizabeth previously held a postdoctoral appointment as von Karman Instructor at Caltech in the Department of Computing + Mathematical Sciences. She has been the recipient of many awards, including a Caltech-wide award for teaching bestowed by the undergraduate student body, the 2020 SIAM Student Paper Prize, the Fannie and John Hertz Foundation Fellowship, and the NSF Graduate Research Fellowship. She is also an alumna of the U.S. Fulbright student program. She earned her PhD, SM, and SB degrees from the MIT Department of Aeronautics & Astronautics.
Flight Mechanics & Controls
Propulsion & Combustion
Systems Design & Optimization
AE Multidisciplinary Research Areas:
Large-Scale Computations, Data, and Analytics
PhD Aerospace Computational Engineering, MIT, 2021; SM Aerospace Engineering, MIT 2017; SB Aerospace Engineering, MIT 2014.
Associated Students of the California Institute of Technology Teaching Award 2022, Caltech Division of Engineering and Applied Sciences New Horizons Diversity, Equity, and Inclusion Award 2022, National Science Foundation Graduate Research Fellowship 2014, Fannie and John Hertz Foundation Fellowship 2014, Fulbright Student Grant 2014;