Connor Robertson

I am a postdoctoral researcher at Sandia National Laboratories researching how to accelerate modeling and simulation by leveraging scientific machine learning tools. Specifically, I have been working to use these accelerations to calibrate expensive epidemiological models with 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 the intersections between machine learning and data science with traditional computational science.

On this site you can find my CV, my LinkedIn and Github profiles, and some other little tidbits for research, seminars, teaching, and general exploration.