Luc le Pottier

Luc Le Pottier is a research assistant at Berkeley Lab, focusing on anomaly detection models for ATLAS detector data since May 2020, following a summer research role developing semi-supervised machine learning models. Concurrently, Luc serves as a graduate student instructor at the University of California, Berkeley. Previous experience includes a data science fellowship at the University of Michigan, advancing various data-driven projects aimed at enhancing student experiences. Luc has conducted significant research as an undergraduate at CERN, developing deep neural network autoencoders for identifying dark matter candidates, and has worked on computer vision systems for the MUSE experiment-based monitoring. Luc holds a PhD in Physics from the University of California, Berkeley, and a dual degree in Physics and Computer Science from the University of Michigan.