Anthony Gee started as a Technical Advisor at Haley Giuliano in 2019. Anthony received his Physics, B.S. in 2009 and his Physics, Ph.D. in 2018. During his undergraduate career, he studied and coded molecular dynamics simulations for the goal of studying vortex pinning in superconductors. In graduate school, Anthony transitioned to computational accelerator physics, where he simulated charged particle dynamics in particle accelerators. He completed his dissertation on developing innovative methods for the simulation of intense particle beams in present and planned U.S. accelerators. Anthony continues to study the latest technologies and software, including machine learning, A.I., and autonomous driving.