IRIS-HEP Fellow: Kaitlin Salyer
Fellowship dates: Jun – Dec, 2021
Home Institution: Boston University
Project: AutoDQM A Machine Learning Approach to Data Quality Monitoring at CMSThe goal of this project is to develop a machine learning (ML) tool to highlight anomalies in detector output from the Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider (LHC). This will ultimately help to simplify the data quality monitoring (DQM) process.
More information: My project proposal
Indara Suarez (Boston University)
Chad Freer (Northeastern University)