Sam Young

I’m a third year PhD student in the Physics Department at Stanford University, interested in building intelligent systems that can understand and reason about data from particle physics experiments. I am advised by Kazu Terao in the neutrino group at SLAC National Accelerator Laboratory.

I’m broadly interested in:

• Representation learning and foundation models for scientific imaging data
• 3D computer vision for particle physics
• Differentiable surrogate models for simulation calibration

I’m grateful to be supported by the Stanford Institute for Human-Centered Artificial Intelligence (HAI) Graduate Fellowship in the 2023-2024 academic year.

Previously, I worked with Julia Gonski of the SLAC ATLAS group on applying machine learning techniques for anomaly detection in the ATLAS experiment at CERN, and with Giorgio Gratta of the Stanford neutrino group on detector R&D for the upcoming nEXO experiment. Before that, I started my research journey at the University of Pennsylvania working with Josh Klein on novel neutrino detector instrumentation for THEIA, a proposed hybrid optical neutrino detector. I graduated from Penn in 2023 with a bachelor’s and master’s in physics.