I am a computational scientist passionate about developing numerical algorithms for mathematical modeling of physical systems and engineering applications. I am currently a Department of Energy Computational Science Graduate Fellow at the Massachusetts Institute of Technology and a doctoral student in the Center for Computational Science and Engineering in the Institute's Schwarzman College of Computing working with Prof. David Darmofal.
My research aims to incorporate stochastic differential equations, variational multiscale discretizations, and subgrid-scale modeling to develop better stabilized models for chaotic dynamical systems, with a particular motivation of turbulent flows. Further, we want to explore the potential stabilizing effect that stochastic models could have on the linearized sensitivity of chaotic systems.
I earned my master's degree in Aeronautics and Astronautics with a specialization in Aerospace Computational Engineering from MIT in June 2023.
I completed my master's thesis
on assessing wall-modeled large-eddy simulation for high-speed turbulent flows and exploring new modeling strategies advised by Prof. Adrian Lozano-Duran.
Outside of research, I enjoy teaching and mentoring. I have been recognized for my teaching and leadership at UIUC many times, including by my former students from classes I've developed and instructed. I have been consistently recognized by MIT AeroAstro for my involvement and leadership in advocacy efforts.
In my free time, I like karaoke and live music, rock climbing and boxing, and hanging out with my siblings and my cat Finneas.