Elizabeth Qian

PhD Candidate, MIT Center for Computational Engineering

I am a final-year PhD student in the Center for Computational Engineering and the Department of Aeronautics & Astronautics at MIT. My advisor is Professor Karen Willcox, and my research interests are in data-driven model reduction and multifidelity methods for uncertainty quantification and optimization.

I received my SB in Aerospace Engineering from MIT in 2014. Prior to beginning graduate studies, I was awarded a Fulbright Student Grant to do research at RWTH Aachen in the 2014-2015 academic year. In Fall 2015 I returned to MIT and received my SM in Aerospace Engineering in 2017. I am a recipient of the National Science Foundation Graduate Research Fellowship and the Fannie and John Hertz Foundation Fellowship.

I am committed to promoting equity in education, and I am proud to have served three years on MIT's Committee on Sexual Misconduct, Prevention, and Response and 4.5 years on the executive board Graduate Women in Aerospace Engineering.

Recent News

July 2020: Awarded a 2020 SIAM Student Paper Prize for my work on multifidelity estimation of global sensitivity indices (read about it at the SIAM News Blog). I also gave a presentation in the 1st Workshop on Scientific-Driven Deep Learning on July 1 (video available at the link).

June 2020: I gave a LANS Seminar on June 3 at Argonne National Lab.

May 2020: I attended in the Erwin Schrödinger Institute's virtual workshop on "Multilevel and multifidelity sampling methods in UQ for PDEs" May 4-5.

February 2020: Our paper, "Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems," has been accepted for publication the Physica D Special Issue on Machine Learning and Dynamical Systems. This is joint work with Boris Kramer, Benjamin Peherstorfer, and Karen Willcox, and can be downloaded from arXiv here.

News Archive