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Our Team

Administration

Dr. Ceren Kolsarici joined Smith School of Business as an Assistant Professor of Marketing in Fall 2009.

Before joining Queen's University as a faculty member, Dr. Kolsarici earned her Ph.D. in Marketing (2009) from McGill University. In 2008, she was distinguished as the American Marketing Association-Sheth Consortium Fellow. She was also nominated for national (SSHRC) and provincial (ADESAQ) doctoral dissertation awards by McGill University at the faculty level.

Dr. Kolsarici specializes in advertising, diffusion of new products, and pharmaceutical marketing. Her current research encompasses several critical areas including design and evaluation of integrated marketing communications campaigns, media selection and scheduling, marketing budgeting, and development of advertising creative strategies. In her research, she develops new models and methods to improve managerial decisions and marketing applications in practice, by helping managers better understand how marketing affects performance.

Ceren Kolsarici currently teaches marketing management, and integrated marketing communications at Smith. Her research has been published in prestigious journals such as Journal of Marketing Research, and International Journal of Research in Marketing. She has presented her research at UC Davis, Northwestern University, Erasmus University, Tilburg University, as well as national and international conferences in Australia, Belgium, US, the Netherlands, Germany and Turkey.

Dr. Kolsarici also holds a B.Sc. in Industrial Engineering (2002) from Middle East Technical University, and an MBA (2004) from Bilkent University.

Read Ceren's full bio
Dan McBride
Daniel McBride

Associate Director, Administration
Scotiabank Centre for Customer Analytics

Research Fellows

Lily Poursoltan
Lily Poursoltan

PhD candidate

Cecilia Ying
Cecilia Ying

PhD candidate

Alireza Farhang Doost
Alireza Farhang Doost

PhD candidate

Nancy Yang
Nancy Yang

PhD candidate

Amir Gohari
Amir Gohari

PhD candidate

Yihao Fang
Yihao Fang

Postdoctoral Fellow

Scotiabank Scholars

Matthew Thompson's research is in real options theory and applications in energy markets. Matthew’s work has gained significant national and international recognition from the operations research community (winner of the best student paper award of the Canadian Operational Research Society and finalist in the prestigious George B. Dantzig Dissertation Award of INFORMS). His work has appeared in Operations Research and Naval Research Logistics. Matt spent time as a risk management consultant for a power generation firm, and was the Associate Director of Financial Engineering at a major Canadian Investment Bank, where he developed mathematical models for the pricing, hedging and trading of financial derivatives.

Read Matthew's full bio

Dr. Ceren Kolsarici joined Smith School of Business as an Assistant Professor of Marketing in Fall 2009.

Before joining Queen's University as a faculty member, Dr. Kolsarici earned her Ph.D. in Marketing (2009) from McGill University. In 2008, she was distinguished as the American Marketing Association-Sheth Consortium Fellow. She was also nominated for national (SSHRC) and provincial (ADESAQ) doctoral dissertation awards by McGill University at the faculty level.

Dr. Kolsarici specializes in advertising, diffusion of new products, and pharmaceutical marketing. Her current research encompasses several critical areas including design and evaluation of integrated marketing communications campaigns, media selection and scheduling, marketing budgeting, and development of advertising creative strategies. In her research, she develops new models and methods to improve managerial decisions and marketing applications in practice, by helping managers better understand how marketing affects performance.

Ceren Kolsarici currently teaches marketing management, and integrated marketing communications at Smith. Her research has been published in prestigious journals such as Journal of Marketing Research, and International Journal of Research in Marketing. She has presented her research at UC Davis, Northwestern University, Erasmus University, Tilburg University, as well as national and international conferences in Australia, Belgium, US, the Netherlands, Germany and Turkey.

Dr. Kolsarici also holds a B.Sc. in Industrial Engineering (2002) from Middle East Technical University, and an MBA (2004) from Bilkent University.

Read Ceren's full bio

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 Centre for Business Venturing. Prior to joining Queen's, 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 Smith 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.

Read Elspeth's full bio

Jue Wang is an Assistant Professor of Management Science at Smith School of Business. His research lies at the intersection of operations research and statistics, with particular interests in real-time decisions with monitoring data. In addition, he is studying complex revenue management problems through the lens of optimal control theory. Jue has led multiple big data & analytics consulting projects in energy, transportation, and mining industries. He received his Bachelor’s degree from Xi’an Jiaotong University (China) in 2007 and PhD from the University of Toronto in 2013.

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Christopher Miners is an Associate Professor of Organizational Behaviour. He received his B.Sc. in Psychology from McGill University, and his Ph.D. in Organizational Behaviour and Human Resource Management from the University of Toronto.

Christopher’s research investigates abilities, personality traits, and intra- and interpersonal processes that facilitate job performance and promote well-being. The focus of his first line of research is on emotional intelligence.

Christopher's current research examines the relations between emotional intelligence and negotiation performance, moral decision-making, and social influence.

A second line of his research investigates the antecedents and the consequences of counternormative behaviour in group contexts. He has published papers on these topics in a variety of journals including the Administrative Science Quarterly, Leadership Quarterly, and Journal of Experimental Social Psychology. His research is funded by the Social Sciences and Humanities Research Council of Canada.

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Matthias Spitzmuller is an Associate Professor of Organizational Behaviour at Smith School of Business.

His research focuses on team motivation/team leadership, and on helping behaviors/cooperative work behaviors and has been published in journals such as the Academy of Management Journal, American Psychologist, Journal of Applied Psychology, Journal of Management, Journal of Organizational Behavior, and Organizational Behavior and Human Decision Processes.

Matthias has taught classes on Organizational Behavior and Human Resource Management to undergraduate students, MBA students, and doctoral students. He has also served as a lecturer on leadership in executive education programs at the National University of Singapore and Harvard Business School Publishing. Prior to joining Smith School of Business, Matthias worked as an assistant professor at the National University of Singapore. Matthias completed his Ph.D. in Organizational Behaviour under the guidance of Prof. John R. Hollenbeck at Michigan State University.

He also holds an MBA from the University of St. Gallen in Switzerland. Before embarking on his academic career, Matthias worked for Kienbaum Management Consultants as assistant to the CEO and consultant. In his work for Kienbaum, Matthias consulted organizations on Strategic HRM issues and on realigning / reorganizing their HRM.

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Dr. Xiaodan Zhu is an Assistant Professor of the Department of Electrical and Computer Engineering. He leads the Text Analytics and Machine Learning Lab (TAML). Dr. Zhu received his Ph.D. from the Department of Computer Science at the University of Toronto in 2010 and his Masters of Engineering from the Department of Computer Science and Technology at Tsinghua University in 2000. He was a researcher of National Research Council Canada from 2010 to 2017.

Dr. Zhu and his students published at top machine learning, natural language processing, and artificial intelligence conferences and journals such as ICML, ACL, IJCAI, JAIR, IEEE/ACM TASLP, JASIST, JAMIA, NAACL, EACL, IPM, etc. His recent work has received the Adam Kilgarriff *SEM Best Paper Award for Lexical Semantics.

Recently he serves as a Chair for The 33rd Canadian Conference on Artificial Intelligence. He serves for ACL '19 Best Paper Award Committee. He has been as an Associate Editor for the Computational Intelligence journal since 2015. Dr. Zhu is Co-Chair for SemEval '20, '19; Publication Chair for COLING '18; Area Chair for ACL '19, '18, EMNLP '19, NAACL '19, and COLING '18; Workshop Chair for COLING '20. He is an active reviewer for NIPS, AAAI, AISTATS, IJCAI, ACL, TKDE, EMNLP, ICASSP, TASLP, COLING, JBI, ICASSP, INTERSPEECH, ect.

Dr. Zhu was an Evaluation Group Member of NSERC Discovery Grants (Computer Science Group, 2017), Canada. He also served as an external reviewer for government grants such as Discovery Grants, Industrial Research & Development Fellowship, Research Support for New Academics (Québec), General Research Fund (Hong Kong), and Faculty Development Scheme (Hong Kong). He also helped review startup companies' proposals (e.g., for CDL of University of Toronto).

In the past, Dr. Zhu has worked with industrial research labs either as a research intern (Google (New York), IBM T.J. Watson Research Center), a visiting scholar (Microsoft Research Asia), or as a full-time researcher (Intel's China Research Center).

Christian received his PhD in 2014 from the University of Toronto. His research focuses on techniques for planning under uncertainly, and using planning techniques as a computation core for a range of applications and sub-fields. Recently, his research has focused on the acquisition of action theories; either manually specified or induced in a data-driven fashion. He is also actively exploring methods to combine reasoning and learning for creating complex multi-turn goal-oriented dialogue systems.

Nicole is an Assistant Professor of Marketing at the Smith School of Business, Queen’s University.

As a behavioral scientist her research lies at the intersection of consumer behavior and decision making, with a focus on discovering ways to improve consumer welfare, marketing, and public policy. She uses both laboratory and field experiments to investigate questions across a variety of domains including financial, health and moral decision-making. Her work is published in the Journal of Marketing, Management Science, and the Harvard Business Review and has been presented at numerous international conferences.

In addition to her academic work, Nicole currently serves on the National Financial Literacy Research Sub-Committee for the Financial Consumer Agency of Canada. She has also worked as advisor to the Government of Canada’s Behavioural Insights Unit and the Ontario Government’s Behavioural Insights Unit, where she formally worked as Chief Researcher. Her work on increasing organ donation with the Ontario Government was awarded the prestigious Amethyst award for outstanding achievement.

Guang Li is an assistant professor of Management Science in Smith School of Business at Queen’s University. She received her Ph.D. from the Marshall School of Business at the University of Southern California (2016), M.Eng. from Massachusetts Institute of Technology, M.Sc. from National University of Singapore, and B.Eng. from Nanyang Technological University, Singapore.

Guang’s research interests include customer choice modeling, assortment planning, revenue management and interfaces between operations management and marketing, accounting and finance. Her work has been published in Operations Research and Operations Research Letters. She is a member of INFORMS.

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Tanya Levin is an Associate Professor of Management Science. Her current research focuses on algorithmic learning methods in revenue management and dynamic pricing based on earlier work with online learning algorithms for stock market portfolio rebalancing. Tanya has authored or co-authored papers in Operations Research and Operations Research Letters, presented numerous national and international conference papers, and published a book chapter on "Online methods for portfolio selection".

Tanya received her PhD in Management from Rutgers University, NJ, USA in 2004. She also holds an MBA from Rutgers University.

Read Tatsiana's full bio

Dr. Stephen W. Thomas is an adjunct faculty member at the Smith School of Business at Queen’s University in Kingston, ON, Canada. Dr. Thomas holds PhD, MSc, and BSc degrees in Computer Science. His main interests are databases, data mining and analytics, and text analytics. His research has been published in IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Software Engineering, Empirical Software Engineering, and others. He is a recipient of the Scotiabank Scholar research grant. In addition to his role at the Smith, Dr. Thomas runs a tech startup in the world of big data. He consults with many large companies in the areas of big data and text analytics. He previously held an industrial data analytics position at Raytheon in Tucson, AZ. Dr. Thomas teaches several courses on databases, big data analytics, and mathematical analysis in Smith’s Commerce and Masters of Management Analytics (MMA) programs. He serves on the MMA advisory board. Dr. Thomas is member of several academic communities, including the Association of Computing Machinery (ACM), IEEE, ACM Special Interest Group on Software Engineering (ACM SIGSOFT), and TimeCenter.

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Yanzhe (Murray) Lei is an Assistant Professor of Management Analytics at Smith School of Business in Kingston, Canada. Murray holds a Ph.D. in Business Administration from University of Michigan, and a B.Eng in Automation from Tsinghua University, China. Murray’s research lies at the intersection between business analytics and operations management, with a particular focuses on the development and analysis of real-time prescriptive analytics solutions that are easily implementable in a dynamic business environment.

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Anton Ovchinnikov is a Distinguished Faculty Professor of Operations Management and Management Science at Smith School of Business in Kingston, Canada. His research interests include, on the theoretical side, behavioral operations, revenue management and environmental sustainability. On the applied side, he studies data-driven applications in business, government and nonprofit sectors.

Anton’s work has been published in the leading academic journals. One of his academic papers was recognized as the finalist of the 2009 Junior Faculty Best Paper Competition held by the Institute of Operations Research and Management Sciences (INFORMS), and his applied work was recognized as the finalist in the 2014 INFORMS Revenue Management and Pricing section Practice Prize. In 2015 Anton received the Paul Kleindorfer Award in Sustainability from the Production and Operations Management Society (POMS) for his work on sustainable operations. His case studies also won several awards, including the 2005 and 2011 INFORMS Case competitions. Anton organized several conferences and is on the editorial review boards of two leading operations management journals; his contributions to the academic community also received multiple service awards.

Prior to joining Queen’s Anton taught data and decision analysis courses at the University of Virginia, management science and supply chain management courses at the University of Toronto, as well as in multiple executive educations programs around the world. He holds a specialist degree in economics from his hometown university in Krasnoyarsk, Russia, and a PhD in operations management from the University of Toronto. Before starting his academic career, he worked in Germany, the Netherlands and Russia in the area of commercializing high-tech developments and co-owned a business in industrial and architectural design.

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Dr. Nediak is interested in complex Management Science, Operations Research and data analytic problems with a significant computational component. The techniques employed in his research range from integer and nonlinear optimization to control theory and stochastic simulation. His current research focuses on new models in Revenue Management and Dynamic Pricing.

Dr. Nediak has undergraduate and M.Sc. degrees from the Department of Management and Applied Mathematics, Moscow Institute of Physics and Technology, Russia. He has received his PhD in Operations Research at Rutgers, The State University of New Jersey.

Read Mikhail's full bio

Laurence Ashworth is a researcher and teacher at the Smith School of Business. He completed his Ph.D. in 2004 at the University of British Columbia prior to coming to Queen’s.

His research is quite varied, but he is generally interested in social and emotional influences on consumers’ decision-making. His work has been published in a variety of top journals such as, the Journal of Consumer Research, the Journal of Marketing, and the Journal of Consumer Psychology. He also comments regularly and has had his work cited in the New York Times, the National Post, the Globe and Mail, Macleans, Psychology Today, etc. He has been interviewed on Canada AM, Global TV, and other television and radio stations.

Laurence teaches courses on Principles of Marketing and Consumer Behaviour to students in the undergraduate, M.Sc., Ph.D., and M.B.A. programs at the Smith School of Business. A central theme of Laurence’s teaching is to integrate broad strategic approaches to marketing with more specific, evidence-based ideas that help predict how and why consumers will react to the decisions that marketers make. The goal is to provide students with a broad framework that they can take to the marketplace that will help them make good marketing decisions.

Arcan Nalca holds a PhD degree in Operations Management from the Desautels Faculty of Management in McGill University, Montreal.

His primary research interest lies in the field of supply chain management, especially in the context of modeling and analyzing practically motivated research problems at the interface of operations and marketing. Issues related to competition, coordination, and contracting in the presence of demand uncertainty constitute some of his research thrusts in this area.

His current teaching interests are in the areas of operations management and operations research; particularly Supply Chain Management, Operations Management, and Strategic Management of Operations/Supply Chains, Inventory Models.

Tina Dacin is the Stephen J.R. Smith Chair of Strategy and Organizational Behavior at Smith School of Business, Queen's University, Canada and also the Director of the Community Impact Research Program. She is the former Director of the Smith School of Business Centre for Social Impact as well as a former member of the University Senate at Queen's University and Former Chair of the Principal's Innovation Fund Committee.

Professor Dacin's research interests include cultural heritage and traditions, social innovation/entrepreneurship, and strategic alliances.  Her work has been published in leading management journals including the Academy of Management JournalAcademy of Management ReviewAccounting, Organizations, and SocietyJournal of Business EthicsJournal of ManagementJournal of World BusinessOrganization Science, and the Strategic Management Journal. She has also served as Senior/Consulting Editor for Organization ScienceJournal of International Business StudiesJournal of Management Inquiry. She has previously served for multiple terms on the Editorial Review Boards of the Academy of Management Journal, the Academy of Management Review, the Journal of International Business Studies, Strategic Organization and Strategic Management Journal

Professor Dacin teaches courses in leadership, change, and strategy. Professor Dacin advises and speaks to major corporations in the airline, biotechnology, defense, energy, financial services, healthcare, and telecommunications sectors as well as a number of public sector and non-profit organizations.  She currently sits on the boards of the Kingston Community Foundation and GRLI, a global advocacy organization for promoting responsible leadership in business schools and organizations. Professor Dacin has received several awards and recognition for research and teaching.  Most recently, she was inducted as a Visiting Fellow into Sidney Sussex College at the University of Cambridge, UK and is a Visiting Fellow of the Judge Business School. She has also been a Visiting Professor for several years at the Kellogg School of Management, Northwestern University and the Indian School of Business in Hyderabad, India.

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Governance

Scotiabank Centre for Customer Analytics Advisory Board Members

As Managing Director of Management Information & Analytics for Scotiabank, Global Banking and Markets, Mike is responsible for the Management Information Systems used across the wholesale banking division. As part of the group Mike leads the Data Science and Analytics group responsible for applying advanced analytics to enhance customer knowledge, improve customer focus and business line performance for Scotia’s corporate customers.

Mike joined Scotiabank in 2005 as a Senior Manager in Group Treasury and subsequently moved to Global Analytics & Financial Engineering before heading Management Information & Analytics. Over the past 10 years Mike has been involved with developing systems and analytics across the trade floor and subsequently expanding responsibilities to include Corporate and Investment Banking, Global Transaction Banking and Commercial. Before Scotiabank he worked at Deloitte in both Audit and the Capital Markets Group.

Mike holds degrees in Commerce and a Master’s in Management Analytics both from Queen’s University. He is also a Chartered Accountant in Canada and a Certified Public Accountant in the State of Illinois.

As Group Head and Chief Risk Officer for Scotiabank, Daniel Moore is responsible for global management of risk, including enterprise, credit and market risk. Prior to his appointment in April 2017, he was Executive Vice President and Chief Market Risk Officer.

Daniel is a member of the Bank’s operating committee, senior risk policy, asset liability committee, market risk, and credit committees.

Daniel joined Scotiabank in 1997 and has held progressively senior roles Chief Market Risk Officer in 2016, Daniel ran the Global Banking and Markets business in Asia-Pacific. He brings a strong focus in developing risk management strategies that align with the Bank’s risk tolerance, business objectives and customer focus.

Daniel holds a D.Phil. in Theoretical Physics from Oxford University and a B.Sc. from Queen’s University.

He and his wife Deborah have three daughters.

Philip Thomas
Philip Thomas

Chief Risk Officer
Scotiabank

Yuri Levin is on leave as the Stephen J.R. Smith Chair of Analytics at Smith School of Business and the Director of Smith's Master of Management Analytics programs. 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 Smith 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.

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As Group Head, Technology & Operations at Scotiabank, Michael has shared responsibility for the advancement of Scotiabank’s technology strategy and for the oversight of the broader Information Technology function in support of the Bank’s business strategy. His mandate is to advance Scotiabank’s capability to develop, operate and protect the infrastructure, systems and applications that support all businesses and corporate functions globally.

Prior to joining Scotiabank in 2014 as Senior Vice President & Head, Risk Management Information Technology, Michael held senior positions in IT, including President and Chief Operating Officer at Algorithmics and Vice President, Risk Analytics at IBM.

Michael holds a Master of Science in Social and Economic Sciences in Commerce, a Master of Business Administration in Finance and a Doctorate of Philosophy in Economics.

Mark Wagner
Mark Wagner

VP, Global Strategy and Transformation
Scotiabank

Affiliated Researchers

Pavel is a Partner, Head of Trusted Data & AI at IBM Cognitive (AI) Consulting Practice with over 12+ years of experience. He has been serving the top management of multinationals in North America, Europe and Asia across many sectors, including Financial, Healthcare and Energy & Utilities. He combines management consulting, operations research, and data science expertise to drive operational excellence. He is responsible for leading sales & delivery teams to support AI, Advanced Analytics & Robotics initiatives, while developing strong long term client relationships. Pavel has provided advisory services to RBC, CIBC, Tangerine, Canadian Federal Government, Air Canada, Suncor, Enbridge, Bell, MDS Diagnostics, Loblaws, Shoppers Drug Mart, Canadian Tire and many others.

Pavel has been identified as IBM’s Top Performer (Top 10%) and enrolled in several Executive Leadership Development programs. He has a bachelor in Industrial (Operations Research) Engineering from University of Toronto and masters in Management of Advanced Analytics from Queen's University. He is excited about the applied research opportunities at the Scotiabank Center for Customer Analytics @Queen's University encouraging innovation across industries, in order to deliver a re-imagined customer experience.

Tyler joined Scotiabank’s Global Banking & Markets division in 2007 as an Associate in the Structured Credit & Equity Derivatives group. Over the following years, Tyler worked in many cross-asset derivative structuring roles before being named Director and co-head of FICC Structured Solutions, a structuring group focused on the Fixed Income, Currencies and Commodities markets. In 2015, Tyler joined the Data Science & Analytics group, a newly created group focused on guiding business strategy within Global Banking & Markets through the application of advanced analytics and data science. As a member of the management team, Tyler is in charge of overall business strategy and business line integration.

Tyler holds a Master of Science degree in Statistics from the University of Toronto and a Bachelor of Science degree in Mathematics from McGill University.

Ivan Sergienko is Chief Product Officer at Riskfuel. He leads a team of applied research scientists and developers. Prior to joining Element AI, he spent 10 years at a large international bank in various quantitative roles, most recently heading a group building customer analytics solutions using advanced machine learning techniques. Ivan began his career as a theoretical condensed matter physicist working at Memorial University of Newfoundland and Oak Ridge National Laboratory. He has published research articles in Harvard Business Review, Nature Physics, and other top journals. Ivan has a PhD in Physics from Rostov State University. He is also a CFA Charterholder.

Jose A. Murillo is an analytic leader with a distinguished track record of translating analytics into high profits. He established and leads the Analytics Business Unit (ABU) at Banorte –Mexico's second largest financial group. His team develops a deep understanding of Banorte's customers with the aim of finding opportunities to increase profitability. He assures end to end implementation of the projects which his team undertakes. During its first year of operations (2015) the value created by the ABU was equivalent to 9 percent of Banorte's total net profits. During the second year of operations the ABU contribution increased to 20 percent of Banorte's total net profits.

In 2016 he was awarded the Lafferty Global Award on Credit Card Excellence for the impact of analytics on Banorte's productivity. Prior to Banorte, Dr. Murillo was a top ranking official at Mexico's Central Bank, an advisor to the International Monetary Fund and taught economics at Rice University, ITAM and El Colegio de Mexico. He holds a BA in economics from ITAM (graduated with honors and received national prizes in economics from the National Chamber of Commerce and Tlacaelel National Prizes) and a PhD in economics from Rice University.

Yuri Medvedev is a Chief Mathematician at Bank of Montreal, Toronto, Canada. Prior to that, Dr. Medvedev worked as a senior analyst at the Bank of Montreal and was a professor at the Department of Mathematics and Statistics of York University. Dr. Medvedev is active in the field of industry-academia collaboration.

Andrew Storey is the VP, Analytics Engineering & Tangerine Analytics. He has been at Scotiabank since 2000, he has worked in the Canadian bank, Global Risk Management and the International Bank. Andrew’s department is a support function for the bank globally and provides capabilities in the following areas: network analytics, customer pricing, customer behavioral modelling, social, web and mobile analytics.

Prior to being at the Bank, Andrew worked in the areas of retail credit risk modelling and credit card marketing.

As Head of Data Use and Ethics for RBC, William is responsible for building and leading the development and implementation of a global analytics strategy supporting all business segments that:

  1. delivers a better understanding of our target client segments and enhanced insights into how we can better tailor our business strategies to deliver exceptional value to these clients;
  2. identifies opportunities to further enhance our client relationships and product and solution offerings;
  3. provides business leaders with a more fulsome, timely, and actionable view into the drivers of our ongoing success.