Speaker: Thea Klaeboe Aarrestad

She / her / hers

Particle Physics and Real-Time ML @CERN @ETH Zürich

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.

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Session

Machine Learning at the Edge of Scale and Speed: Nanosecond Inference at the CERN Large Hadron Collider

The CERN Large Hadron Collider (LHC) produces O(10,000) exabytes of raw data annually from high-energy proton collisions. Handling this volume under strict compute and storage limits requires real-time event filtering capable of processing millions of collisions per second.

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Date

Wednesday Mar 18 / 10:35AM GMT ( 50 minutes )

Location

Windsor (5th Fl.)

Topics

AI/ML systems real-time fpga asics

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