IRIS-HEP Fellow: Sean Condon

Fellowship dates: Jun – Aug, 2020

Home Institution: Massachusetts Institute of Technology

Project: Developing selection algorithms to reduce output data rate from the Large Hadron Collider

The LHCb experiment at the Large Hadron Collider produces around 40 Tbits/s of data while running. The main goal of this project is to develop multivariate algorithms for run 3 of the LHCb experiment to select the interesting parts of this immense amount of data and discard the rest in real-time using only GPUs. To accomplish this, I will develop and evaluate many possible multivariate algorithms to find the best fitted for this task, and then deploy these into the baseline algorithm repository for LHCb run 3.

More information: My project proposal

  • Michael Williams (MIT)

Presentations and Publications
Current Status
February 2022 - Machine Learning Engineer at Deepcell Inc.

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