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 (or academic CV), my LinkedIn and Github profiles, and some other little tidbits for research, seminars, teaching, and general exploration.