I am a computational scientist interested in developing numerical methods 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 candidate in the Center for Computational Science and Engineering in the Institute's Schwarzman College of Computing working with Prof. David Darmofal.
The focus of my doctoral research is to incorporate stochastic methods for model reduction and control of multiscale chaotic systems.
I also collaborate with the Computational Mathematics Group at the Pacific Northwest National Laboratory working with Dr. Panos Stinis and Dr. Amanda Howard on machine-learning-based spectral methods for reduced-order modeling.
I have experience developing and running code on modern high-performance computing architectures for scientific computing applications across academia and industry.
Outside of research, I enjoy 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 (karaoke, concerts, dancing) with my friends. I also like spending time with my siblings and my cat Finneas.