Alexander Held

My research:

Higgs physics in ATLAS, statistical analysis (including tooling), end-to-end physics analysis at scale for the High Luminosity LHC (via the Analysis Grand Challenge project)

My expertise is:

Higgs physics, statistical analysis, HEP analysis with Python, Scikit-HEP stack

A problem I’m grappling with:

finding patterns for handling systematic uncertainties in end-user analysis code that are highly readable yet computationally efficient.

I’ve got my eyes on:

creating more public resources that show good patterns for end-user analysis workflows and go beyond minimal examples.

I want to know more about:

the potential sensitivity gains obtained from automatic analysis optimization via gradient descent.