Applied Physicist, CERN

I work on the Level 1 Trigger of the CMS Experiment at the LHC. For the Phase 2 Upgrade this involves developing fast and efficient physics reconstruction algorithms for FPGAs. I’ve contributed to track finding, vertex reconstruction, particle flow, pileup substraction (PUPPI), jet reconstruction, electron identification, and providing a platform for particle-based algorithms.

I also develop algorithms and tools for machine learning in the trigger. I’m contributing to ongoing efforts to use ML to select events in the trigger during LHC Run 3 with anomaly detection and topological classification. For the Phase 2 Upgrade of CMS I’m involved in several projects to enhance our data taking with ML, like jet tagging. 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’m motivated to apply the techniques and technology we develop at CERN for fast ML inference in other areas as well. At the moment I’m working on a project, called Edge SpAIce, to use these tools for the detection of plastics pollution in the ocean onboard Earth Observation satellites. I’ve previously worked on a collaboration with autonomous vehicle company Zenseact.