IRIS-HEP Fellow: Con Muangkod



Fellowship dates: Jun – Aug, 2024

Home Institution: University of Colorado Boulder


Project: Improving the Analysis Grand Challenge (AGC) Machine Learning Workflow

Improving the AGC workflow by implementing Graph Neural Network (GNN) to the pipeline. Investigating the performance, computational cost, and users' experience of GNN compared to the existing Boosted Decision Tree (BDT). Exploring varieties of GNN architecture that would relfex physical phenomena.

More information: My project proposal

Mentors:

  • Elliott Kauffman (Princeton University)

  • Alexander Held (University of Wisconsin-Madison)

  • Oksana Shadura (University of Nebraska-Lincoln)

Presentations and Publications
Current Status


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