Herman Aguinis is the Avram Tucker Distinguished Scholar and Professor of Management at The George Washington University School of Business, where he served as Chair of the Department of Management and Director of the Master of Human Resources Management Program.

His work focuses on the global acquisition and deployment of talent in organizations and organizational research methods (i.e., behavioral science and data science). Every year since 2018 (for the 7th consecutive year), Web of Science Highly Cited Researchers Reports has ranked him among the world’s 100 most impactful researchers in Economics and Business, he served as President of the Academy of Management, and has been inducted into The PhD Project Hall of Fame. Before joining GWU, he was the John F. Mee Chair of Management and the Founding and Managing Director of the Institute for Global Organizational Effectiveness at the Kelley School of Business, Indiana University.

Opher Baron is a University of Toronto Distinguished Professor of Operations Management at the Rotman School of Management, University of Toronto and a cofounder and CEO of SiMLQ.

He was a visiting associate Professor at the Industrial engineering and Management faculty of Technion (2009/10) and a visiting Professor at the School of Information Management and Engineering, Shanghai University of Finance and Economics (2016/17). He is a Distinguished Fellow at the School of Business Administration at The Hebrew University of Jerusalem (2025/26). Opher served as the Academic Director, MMA Program (2021/23), and the Operations management and statistics area coordinator (2015/21). He has a PhD in Operations Management from the Sloan School of Management at the Massachusetts Institute of Technology, and an MBA and BSc in Industrial Engineering and Management from the Technion. On the teaching front, Opher is especially proud of the modeling and analytics courses he introduced and teaches at Rotman. On the application front he and his colleagues launched the Covidppehelp.ca platform that facilitated the flow of millions of PPE items to end-user customers during the global Covid19 pandemic. In 2024 he cofounded SiMLQ Inc. see WWW.SiMLQ.com. SiMLQ automatically constructs data-driven process Simulators (digital twins) by leveraging event log data, Machine Learning and Queueing theory. On the theory side, Opher’s research interests include queueing, business analytics, service operations (such as healthcare), autonomous vehicles, and supply chain management. Opher's work is published in leading journals such as Operations Research, and Manufacturing & Service Operations Management, and he has won several research and teaching awards and grants, including the 1000 Talents Plan Scholar from the Shanghai Municipal Government, 2017 and the Rotman 2023 Distinguished Scholarly Contribution Award. Opher is active in the operations research and operations management community. He has given numerous invited keynote lectures and seminars, chaired several conferences, clusters, and sessions, and is currently serving on the advisory board and editorial boards of several leading journals, including Operations Research, and Manufacturing & Service Operations Management.