Humphrey Leung is a Ph.D. student in the school of Electrical and Computer Engineering at Purdue University studying networked epidemic dynamics with Professor Paré. He 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 partially presented at the 2018 conference on IEEE Decision and Control. He enjoys hiking and watching movies in his leisure time.