THEA KLAEBOE AARRESTAD, Ph. D.

Research Fellow

@ ETH Zürich, Institute for Particle Physics 

Thea Klaeboe Aarrestad is a fellow at the Institute for Particle Physics and Astrophysics at ETH Zürich. She holds a PhD in Particle Physics from the University of Zürich and has worked as a research fellow at CERN in Geneva before moving to ETH. Her research centers on how Machine Learning can be applied to particle physics problems, especially focusing on using real-time Machine Learning (ML) and anomaly detection for discovering new physics phenomena. She has worked on tools for performing low-power, nanosecond ML inference on field-programmable gate arrays (FPGAs), as well as developing new ML-based methods for collecting and analysing proton collision data at the CERN Large Hadron Collider. She holds several publications in the topics of machine learning and particle physics in journals like Nature Machine Intelligence, PRL and JHEP. She also coordinates the Fast Machine Learning for Science Laboratory and the Targeted Systems Group within the Accelerated AI Algorithms for Data-Driven Discovery (A3D3) Institute.