Sioni SUMMERS

NGT Task Leader: WP3.6

I work on the Level 1 Trigger of the CMS Experiment. For the Phase 2 Upgrade I develop fast and efficient physics reconstruction algorithms for FPGAs. I’ve contributed in the past to track finding, vertex reconstruction and using High Level Synthesis for algorithm development. Nowadays I’m developing particle flow, pileup subtraction (PUPPI), jet reconstruction, electron identification, and providing a platform for particle-based algorithms in the Correlator system.

I also develop algorithms and tools for machine learning in the trigger. I helped to deploy the first ML seed in the CMS trigger during LHC Run 3 in 2024, the anomaly detection trigger AXOL1TL. For the Phase 2 Upgrade of CMS I’m involved in several projects to enhance our data taking with ML, like jet tagging. I’m a task leader in the Next Generation Triggers project at CERN, leading efforts on deeply integrating ML into the CMS Phase 2 Trigger. I want to use ML to select the best physics data for the Phase 2 upgrade. On the ML tools side I created and maintain conifer for BDT inference on FPGAs, and I’ve previously been coordinator of hls4ml for NN inference on FPGAs.

I also work on a project called Edge SpAIce which brings ML triggering to the domain of Earth Observation satellites. There we’re deploying CNNs with hls4ml for power efficient identification of plastics pollution in the oceans. By identifying the important images onboard we can reduce the amount of data that needs to be sent to the ground.
https://sioni.web.cern.ch/

Field of interest:

• Fast Machine Learning
• Trigger
• FPGAs