Peter Haas joined the UMass faculty as a Professor of Information and Computer Sciences and Adjunct Professor of Mechanical and Industrial Engineering in 2017 after 30 years at IBM Research — where he rose to Principal Research Staff Member — and 20 years as a Consulting Professor in Management Science and Engineering at Stanford University. His research lies at the interface of information management, applied probability, statistics, machine learning, and computer simulation. He is a Fellow of both ACM and INFORMS and has received awards from IBM and both the Simulation and Computer Science communities, including an IBM Research Outstanding Innovation Award, an ACM SIGMOD 10-year Best Paper Award for his work on sampling-based exploration of massive datasets, and the INFORMS Simulation Society Outstanding Publication Award for his 2002 Springer monograph on Stochastic Petri Nets. Current research topics include in-database decision support, machine learning (ML) for simulation, and predictive maintenance of ML models under data drift. He is the author of over 160 conference publications, journal articles, and books, and has been granted over 30 patents, leading to his designation as an IBM Master Inventor. His work has been incorporated into IBM products and, more recently, the Apache DataSketches library.

Matthew Hobson-Rohrer has been in the simulation industry for more than 30 years. He has experience with multiple simulation technologies, and has focused on simulation applications in material handling and automation. Matt has been a leader in the simulation community as well, chairing the Winter Simulation Conference in 2001, and leading the WSC case studies track in recent years. Matt enjoys the mountain lifestyle of Utah, mountain biking, hiking, and skiing with his family. LinkedIn: https://www.linkedin.com/in/hobsonrohrer/