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

  • Indara Suarez (Boston University)

  • Chad Freer (Northeastern University)

Presentations and Publications

Current Status

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