Joel Adams is Professor of Computer Science at Calvin University, where he served as department chair for more than a decade and led the creation of Calvin's undergraduate Data Science program. He earned B.S. degrees in Computer Science and Psychology from Geneva College, and M.S. and Ph.D. degrees in Computer Science from the University of Pittsburgh, in the area of distributed systems. He has taught a wide range of courses and has written numerous research papers as well as several well-received textbooks. His areas of expertise include software development, computer networks and operating systems, and parallel and distributed computing. His research has been supported by a series of National Science Foundation grants and he has been the primary architect of six high performance Beowulf clusters. His most recent projects have explored how visualization and sonification can offer new insights into the behaviors of sequential and parallel algorithms. He is a two-time Fulbright Scholar (Mauritius, 1998-99; Iceland, 2005) and is a Distinguished Member of the Association for Computing Machinery (ACM).