Talk at ZPW2026 on machine-learned particle flow

I had the opportunity to present our work at the Zurich Phenomenology Workshop (ZPW2026: Machine Learning Techniques for Particle Physics) held at the University of Zurich, Switzerland.

My talk was titled “Particle flow reconstruction with a learnable, differentiable, efficient ML model”. It discussed casting particle-flow reconstruction as a machine learning problem to replace traditional heuristics with a single unified, differentiable model optimized to run on GPUs.

Check out the presentation details on the CERN Indico page.