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 CMS

The 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

Mentors:

  • Indara Suarez (Boston University)

  • Chad Freer (Northeastern University)

Presentations and Publications
Current Status


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