I am a computational scientist with a technical background in aerospace engineering and applied mathematics.
My research focuses on understanding and improving scientific machine learning methods,
developing stable and accurate computational models,
and integrating these approaches into high-fidelity simulations of complex scientific and engineering applications.
I am currently a Peter O'Donnell Jr. Postdoctoral Fellow at the Oden Institute for Computational Engineering and Sciences working with Prof. Karen Willcox and Dr. Anirban Chaudhuri. I also collaborate with the Computational Mathematics Group at the Pacific Northwest National Laboratory working with Dr. Panos Stinis and Dr. Amanda Howard.
Previously, I was a Department of Energy Computational Science Graduate Fellow at the Massachusetts Institute of Technology. I earned my doctoral degree from the Center for Computational Science and Engineering in the Institute's Schwarzman College of Computing working with Prof. David Darmofal. My thesis was on stochastic and generative modeling for multiscale chaotic differential equations. I have extensive experience developing and running code on modern high-performance computing architectures for scientific computing applications across academia and industry. My recent and ongoing work includes:
I earned my master's degree in Aeronautics and Astronautics with a specialization in Aerospace Computational Engineering from MIT. I completed my master's thesis on assessing wall-modeled large-eddy simulation for high-speed turbulent flows and exploring new modeling strategies. I completed my undergraduate degree in Aerospace Engineering at the University of Illinois Urbana-Champaign, with a minor in Atmospheric Sciences and a concentration in Computational Science and Engineering. I was an undergraduate researcher in the Numerics and Unsteady Flows Group advised by Andres Goza and the Center for Hypersonics & Entry Systems Studies directed by Marco Panesi.
I'm also interested in teaching and mentoring. I have mentored many undergraduate students for various research projects in aerospace engineering and applied mathematics through the MIT Summer Research Program (MSRP) and the Undergraduate Research Opportunities Program (UROP). I have been consistently recognized by MIT AeroAstro for my involvement and leadership in advocacy efforts. 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.
In my free time, I like staying active (rock climbing, cycling, boxing) and going to live music events with my friends. I also like spending time with my siblings and my cat Finneas.
Previously, I was a Department of Energy Computational Science Graduate Fellow at the Massachusetts Institute of Technology. I earned my doctoral degree from the Center for Computational Science and Engineering in the Institute's Schwarzman College of Computing working with Prof. David Darmofal. My thesis was on stochastic and generative modeling for multiscale chaotic differential equations. I have extensive experience developing and running code on modern high-performance computing architectures for scientific computing applications across academia and industry. My recent and ongoing work includes:
- Physics-based scientific machine learning: Understanding, evaluating, and improving scientific machine learning methods for scientific computing applications, see DOI: 10.1016/j.jcp.2026.114851
- Stochastic and reduced-order modeling: Developing stable, accurate, and efficient stochastic and reduced-order models for complex multiscale systems, see arXiv: 2504.09750 [math.NA]
- High-fidelity computational modeling: Applying new computational methods within high-fidelity simulation frameworks for challenging problems in science and engineering, see arXiv: 2307.02725 [physics.flu-dyn]
I earned my master's degree in Aeronautics and Astronautics with a specialization in Aerospace Computational Engineering from MIT. I completed my master's thesis on assessing wall-modeled large-eddy simulation for high-speed turbulent flows and exploring new modeling strategies. I completed my undergraduate degree in Aerospace Engineering at the University of Illinois Urbana-Champaign, with a minor in Atmospheric Sciences and a concentration in Computational Science and Engineering. I was an undergraduate researcher in the Numerics and Unsteady Flows Group advised by Andres Goza and the Center for Hypersonics & Entry Systems Studies directed by Marco Panesi.
I'm also interested in teaching and mentoring. I have mentored many undergraduate students for various research projects in aerospace engineering and applied mathematics through the MIT Summer Research Program (MSRP) and the Undergraduate Research Opportunities Program (UROP). I have been consistently recognized by MIT AeroAstro for my involvement and leadership in advocacy efforts. 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.
In my free time, I like staying active (rock climbing, cycling, boxing) and going to live music events with my friends. I also like spending time with my siblings and my cat Finneas.