PhD Candidate, MIT Center for Computational Science and 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.
For prospective students:
Please note that I will not be supervising graduate students in my postdoctoral appointment at Caltech and I am not involved in Caltech CMS graduate admissions in any way.
I welcome emails from Caltech undergraduate students interested in working with me in Summer 2021. The best time to get in touch would be at the start of Winter Term 2021 to discuss potential opportunities.
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).