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Sam Young

youngsam at stanford.edu

I’m a first year PhD student in the Physics Department at Stanford University, broadly interested in the intersection of particle physics and machine learning. I work with Kazu Terao in the neutrino group at SLAC on deep learning applications for the upcoming Deep Underground Neutrino Experiment. I’m grateful to be supported by the Stanford Institute for Human-Centered Artificial Intelligence (HAI) Graduate Fellowship.

Previously, I worked with Julia Gonski of the SLAC ATLAS group on the development of machine learning algorithms 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 was a research assistant at the University of Pennsylvania working with Prof. Josh Klein on neutrino detector instrumentation. I graduated summa cum laude from Penn’s Department of Physics and Astronomy in 2023 with a bachelor’s and master’s in physics.

latest posts

publications

2022

  1. The Optical Two- and Three-dimensional Fundamental Plane Correlations for Nearly 180 Gamma-Ray Burst Afterglows with Swift/UVOT, RATIR, and the Subaru Telescope
    M. G. Dainotti, S. Young, L. Li, and 21 more authors
    The Astrophysical Journal Supplement Series, Jul 2022