Humphrey Leung got his Bachelor of Science (2017) and Master of Science (2019) in Computer Science from Brigham Young University. His primary research interests are machine learning, deep learning, and network dynamics. His master thesis was titled “Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks”, and it was presented at the 2018 CDC. He enjoys hiking and watching movies in his leisure time. In 2020 he joined the ECE department at Purdue to complete his Ph.D. studying networked epidemic dynamics.