Postdoctoral Appointee
Full time, Argonne National Laboratory, Mathematics and Computer Science division, 2018
- Developed and implemented mathematical and algorithmic techniques for approximating expensive functions in High Energy Physics (HEP).
- Developed robust optimization and design of experiment formulations to decide weights of importance with the goal of tuning a HEP Monte Carlo simulator.
- Developed, maintained, and published HEP analysis packages called apprentice and outer optimization for efficiently constructing polynomial/rational approximations and for performing least squares minimizations.
- Publications to come out of this work include CPC’20, CHEP’21, and SCIPOST’22.