Ryan Golant is a first-year Ph.D. student in the Department of Astronomy at Columbia University. He attended Princeton University for undergrad, majoring in Astrophysical Sciences and minoring in Computer Science. Ryan is broadly interested in computational astrophysics, especially the applications of computing to plasma astrophysics. Ryan's current research involves the use of particle-in-cell (PIC) simulations to study the growth of magnetic fields in high-energy astrophysical systems such as gamma-ray bursts and blazar jets. In previous work, Ryan has used MHD simulations to study stellar feedback, hybrid PIC simulations to study the solar wind, and machine learning to study the components of galaxy clusters.