Yuri Levin is the Stephen J.R. Smith Chair of Analytics at Smith School of Business. He is the Executive Director of Analytics and AI and the founding Director of the Scotiabank Centre for Customer Analytic. Previously, he was the founding Director of Queen’s Master of Management Analytics program.

In 2016, he was named by Poets and Quants as one of the Top 40 Professors Under 40 Worldwide. He teaches analytical decision making, strategic analytics, and pricing analytics courses in MBA, MMA, and Executive Education programmes. He holds a Ph.D. in Operations Research from Rutgers University in the US where he taught in different MBA programmes for 3 years before joining Queen's in 2002.

Yuri was the 2013 and 2014 recipient of the MBA Professor of the Year Award and the 2014 and 2015 recipient of the Master of Management Analytics Professor of the Year Award. He has developed innovative approaches and published widely in the general area of revenue management and dynamic pricing. He was a co-winner of 2013 INFORMS Revenue Management and Pricing Practice Prize for pricing and promotions analysis at Molson Coors Brewing Company and a co-winner of 2009 INFORMS COIN-OR Cup for applications of COIN-OR technologies in development of novel techniques for cargo capacity management and dynamic pricing. He was also the 2010 recipient of Queen's School of Business Award for Research Achievement and 2003 New Researcher Achievement Award.

Yuri is an Associate Editor of Operations Research. He served as Chair of INFORMS Revenue Management and Pricing section, Associate Editor of Management Science, and was a Guest Editor of the special issue of European Journal of Operational Research on Revenue Management and Dynamic Pricing. Yuri's research has been funded by the Natural Sciences and Engineering Council of Canada. Yuri has consulted widely on consumer behavior modeling and optimization of pricing and developed corporate training programmes in strategic analytics, analytical decision making, and strategic pricing optimization. Clients include: ScotiaBank, TD Bank, Loblaws, LoyaltyOne, Fox News, Rio Tinto, McDonalds, Molson.

Elspeth Murray has served as the Associate Dean - MBA and Masters Programs since 2012, and has been a professor of Strategy and Entrepreneurship at Smith School of Business since 1996. She also holds the CIBC Fellowship in Entrepreneurship, and founded Smith's Centre for Business Venturing. Prior to joining Smith, she worked in industry for 7 years for several firms including IBM, and Canadian Tire. As an integral part of her work in the strategy and new venture fields, Dr. Murray specializes in the management of change. In 2002, she co-authored a best-selling book, Fast Forward: Organizational Change in 100 Days, Oxford University Press, with Dr. Peter Richardson. She has recently co-developed (with Dr. David Saunders) the Analytics Climate Assessment Tool (ACAT), which is used to assess organizations technological capacity, skill sets, and analytics culture. Current research is focused on best practices in leading and managing change to create an analytics culture.

Dr. Murray teaches on many MBA and Executive Education programs, and consults widely with a diversity of firms including BMW, Detour Gold, Wawanesa Insurance, Versacold Logistics and the Auditor General for Canada. She serves as a Director for several firms and is an advisor to several start-ups and CEO's. Dr. Murray received an undergraduate degree in computer science and mathematics, and an MBA, both from Queen's University. Her doctorate in Strategy and Management Information Systems was completed at the Richard Ivey School of Business.

David Saunders served as Dean of Smith School of Business from 2003 to 2019. Under his strategic leadership the School experienced dramatic growth, including the addition of new and innovative MBA, professional Masters and executive education programs. To keep pace with this growth, he oversaw significant expansions with the Kingston campus and SmithToronto, the school's state of the art facility in downtown Toronto, and the naming of Smith School of Business after a $50 million gift from Stephen J.R. Smith.

In support of Smith's mission to develop outstanding leaders with a global perspective, Dr. Saunders internationalized the School, adding 80 strategic partnerships around the globe. Under his leadership Smith School of Business forged exclusive relationships with IBM to create The Cube, Canada’s first demonstration centre for IBM Watson and Bluemix technologies, and with the Canadian Olympic Committee, to provide business education to Canadian Olympic athletes and national sports federations.

Dr. Saunders (with Dr. Elspeth Murray) has developed the Analytics Climate Assessment Tool (ACAT), which is used to assess organizations technological capacity, skill sets, and analytics culture to compete effectively with business analytics in the era of Big Data. ACAT guides the creation of tailored executive education programs to enhance organizations analytics culture, strategy, and leadership.

In addition to teaching numerous executive education programs, he has consulted to many diverse organizations throughout his career, including Bantrel; Oerlikon Aerospace Hydro-Québec; Teleglobe Canada; Lantic Sugar; Computer Imaging and Graphics; International Aviation Management Training Institute (IAMTI); Institute of Canadian Bankers (ICB); and Royal Victoria Hospital.

Dr. Saunders has a rich background as a researcher, and is co-author of the world's three largest selling negotiation textbooks, among numerous other books and papers. He earned a PhD in social psychology from Western University in Canada.

With a unique ability to present technical topics in an easy-to-understand and inspiring way, Steve is a sought-after professor and AI expert at Queen’s University’s Smith School of Business. He leads both introductory and expert-level courses on multiple aspects of AI in undergraduate, graduate and executive education programs. He has been selected by students in the Master of Management Analytics as MMA Professor of the Year for the last three years running.

Holding PhD, MSc, and BSc degrees in Computer Science, Steve’s research focuses on analytics, machine learning, and natural language processing. His work has been published in leading journals including IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Software Engineering, Empirical Software Engineering, and others. In recognition of his work in the analytics and AI space, he was awarded a prestigious Scotiabank Scholar research grant.

Beyond teaching and research, Steve has run a big data startup company and conducted industrial operations research at Raytheon, a major U.S. defense contractor and commercial electronics company. He regularly consults with a wide range of organizations on the application of AI for best business outcomes.