Navigating the Edge of Scale and Speed for Physics Discovery

Thea Klæboe Aarrestad is a particle physicist and fellow at the Institute for Particle Physics and Astrophysics at ETH Zürich. She earned a PhD in particle physics from the University of Zurich and previously worked as a research fellow at CERN in Geneva. Her work centers on applying machine learning to particle physics, with an emphasis on real-time techniques for discovering new phenomena, including low-power nanosecond inference on FPGAs and ML-based anomaly detection for analyzing proton collision data from the Large Hadron Collider. She was awarded the Young Experimental Physicist Prize by the European Physical Society for her contributions to integrating machine learning into experimental particle physics.