Michael Kagan is a Panofsky Fellow at the SLAC National Accelerator Laboratory at Stanford University. His work on the ATLAS experiment focuses on understanding the rare interactions of the Higgs boson and how it gives mass to other particles. Dr. Kagan and his team work at the interface of physics and machine learning to develop new methods to better understand and extract insights from the large and complex data generated by the LHC. Dr. Kagan holds a Ph. D. in Particle Physics from Harvard University.