PhD Candidate, MIT Center for Computational Engineering
I am a final-term PhD student at MIT advised by Professor Karen Willcox. My research is motivated by the need for computational methods used in engineering decision-making to be efficient and scalable. In particular, I am interested in model reduction and scientific machine learning for physical systems, and in multifidelity formulations for uncertainty quantification and optimization. Starting in January 2021, I will join the Caltech Department of Computing + Mathematical Sciences as a von Karman Postdoctoral Instructor.
I hold SB and SM degrees in Aerospace Engineering from MIT, and I am currently affiliated with both the Center for Computational Science and Engineering and the Department of Aeronautics & Astronautics. Prior to starting my graduate program, I was awarded a Fulbright Student Grant to support a research stay at RWTH Aachen in the 2014-2015 academic year. I have also received the NSF Graduate Research Fellowship and the Fannie and John Hertz Foundation Fellowship to support my graduate studies.
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 5 years on the executive board of Graduate Women in Aerospace Engineering.
August 2020: I attended the virtual workshop on Numerical Analysis for Data Science at SAMSI from August 26-27.
MIT held a Day of Dialogue on racism for August 5. Benjamin Zhang and I co-led a discussion session titled "Asian in America: Reflections on past and present".
July 2020: Awarded a 2020 SIAM Student Paper Prize for my work on multifidelity estimation of global sensitivity indices (read more 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.