Miles Cochran-Branson

Currently, I am affiliated with the ATLAS collaboration at CERN through the University of Washington. The analysis I work on is focused on tau leptons; in particular, I am part of the team measuring the $H \to \tau\tau$ cross-section in the boosted regime and in measuring spin correlations in the $Z \to \tau\tau$ decay channel. Previously, I worked on the legacy Run 2 $H \rightarrow \tau\tau$ cross-section measurement and on algorithm development for $\tau$ energy scale calibration at the ATLAS experiment using a novel Mixture-Density-Network approach.

Recently, I was awarded the prestigious Department of Energy Office of Science Graduate Student Research (SCGSR) fellowship. While supporting me for sixth months, I will work on developing a novel machine learning model that will encompass all tau reconstruction tasks needed to do analysis with taus. This work will directly impact my analysis work on tau leptons while providing necessary upgrades to legacy algorithms currently used in tau reconstruction.

Previously, I was funded by the WATCHEP fellowship which provided two years of funding for research in computation related to high-energy particle physics. For this fellowship, I developed various implementations of particle tracking as-a-service. This included GPU acceleration as-a-service with an implementation of the existing tracking library traccc and GNN as-a-service for the GNN4ITk project. These efforts were recommended to be incorporated in upcoming runs of the LHC and I am currently working on integration and compatibility for the upcoming ATLAS data-taking with the High-Luminosity LHC.