Michael Kagan is a Lead Staff Scientist at SLAC National Accelerator Laboratory. Michael's research centers on developing and using machine learning to further fundamental physics in the study of the Higgs boson at the LHC and future colliders, in optimizing the design of future experiments, and in the study of gravitational waves, dark matter, and quantum physics using large atom interferometers such as MAGIS-100.