I am a postdoctoral researcher at Sandia National Laboratories working on accelerating modeling and simulation by leveraging scientific machine learning tools. Specifically, I have been working to speed up calibrations of expensive models of epidemics to match real world observations.
Previously, I was a PhD student of Applied Mathematics at the New Jersey Institute of Technology researching data-driven model discovery for active nematic fluid systems.
I’m generally interested in a wide range of machine learning and data science applications and have experience with a range of different physical systems.
On this site you can find my resume, my LinkedIn and Github profiles, and some other little tidbits for research, seminars, teaching, and general exploration.