Christian Muise is an Assistant Professor in the School of Computing at Queen’s University. Prior to joining Queen’s, he received his PhD from the University of Toronto, held postdoctoral positions with the University of Melbourne and MIT, and worked in industry as a research scientist with the MIT-IBM Watson AI Lab. Dr Muise is the author of over 100 scholarly works in the area of Artificial Intelligence (AI). His main area of focus is on the understanding and modelling of sequential decision making problems, with a focus on settings where uncertainty plays a role. In 2022, Dr Muise was recognized with the ICAPS Influential Paper Award (test-of-time) for his work on non-deterministic planning, which remains the state-of-the-art approach for solving planning problems with uncertainty. He has also been recognized with several teaching awards, including the Howard Staveley Teaching Award and the Queen’s University Principal’s Educational Technology Award. Dr Muise is a member of the Ingenuity Labs at Queen’s University, an active Scotiabank Scholar with the Scotiabank Centre for Customer Analytics, and a Faculty Affiliate with the Vector Institute for Artificial Intelligence. After serving as Program Chair for the International Conference of Automated Planning and Scheduling (ICAPS), he was elected to serve on the council for the ICAPS organization. Dr Muise also serves as an Editorial Board Member of the Artificial Intelligence Journal (AIJ).