Mark Van Oyen is a Professor of Industrial and Operations Engr. (IOE) at the University of Michigan. His interests focus on the development of models and methods for machine learning, contextual real-time learning, dynamic model of disease, discrete event simulation, and optimization. His research addresses both healthcare operations/delivery and medical decision making. He co-authored papers that won the 2016 Manufacturing and Service Operations Management (MSOM) Best Paper award, 2016 MSOM Service Science SIG best paper award, 2010 Pierskalla Award, and two 1^st and two 2^nd place best paper awards from the POMS College of Healthcare Op’s. Mgmt. He has served as Associate Editor for Operations Research, Management Science, Naval Research Logistics, and IIE Transactions, and IIE Trans. Healthcare Syst. Engr. and Senior Editor for Flexible Services & Manufacturing. He was a faculty member of the Northwestern Univ. Sch. of Engr. (1993-2005) and Loyola Univ. of Chicago’s Sch. of Bus. Admin. (1999-2005). He has received grant funding from NIH, NSF, Glaucoma Research Foundation, the VA, and others. He received his Ph.D. from Electrical Engr. Systems from the University of Michigan and has worked in industry for GE Corporate R&D and Lear Siegler’s Instrument & Avionic Sys. Div.