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Dmitry Krass, Academic Director

Dmitry Krass is a Professor of Operations Management and Statistics and Academic Director, MMA Program at Rotman and Sydney C. Cooper Chair in Business and Technology.  Obtaining his Ph.D. in Operations Research from Johns Hopkins University, he joined the School in 1989.  He consults extensively in the areas of Predictive Analytics, Optimization of Marketing Communications and Operational Effectiveness.  His research and teaching interests include facility location models, transportation, reliability and inventory location modeling and humanitarian logistics. He is also interested in environmental modeling, including regulation of pollution fines, marketing mix management and optimization, and predictive/ prescriptive analytics using “big data” and other tools in business decision making.

Photo of Jay Cao

Jay Cao, Research Associate

Jay Cao is a Research Associate at the TD Management Data and Analytics Lab and the point of contact for the Lab's day-to-day activities. He has extensive experience in data management, big data technology and research computation on high performance computing platform. At MDL, he supports an analytics computing platform, and helps students and researchers to apply big data and machine learning tools to solve complex management problems.

Brian Keng

Brian Keng, Data Scientist in Residence

Brian Keng is the Chief Data Scientist at Rubikloud Technologies and an Adjunct Professor in Data Science at the Rotman School of Management, University of Toronto. At Rubikloud, he leads a team using AI and machine learning to build intelligent decision automation systems for some of the world's largest retail organizations. At Rotman, he plays a key role in shaping the data science education and research through his work at the TD Management Data and Analytics Lab, the Master of Management Analytics program and interactions with faculty and students.

Peter Wittek

Peter Wittek, Data Scientist in Residence

Peter Wittek is an Assistant Professor in the Rotman School of Management. His research focuses on quantum-enhanced machine learning and artificial intelligence as well as using high-performance learning algorithms in computationally hard problems in quantum physics. As the Academic Director of the Quantum Program in the Creative Destruction Lab and a member of the TD Management Data and Analytics Lab, he helps bridge the gap between research-grade results in the field and the commercialization of such technologies. Furthermore, as a Faculty Affiliate in the Vector Institute for Artificial Intelligence and the Perimeter Institute for Theoretical Physics, he brings in critical skills for the data science initiatives of the School.

Susan Christoffersen

Susan Christoffersen, Vice Dean

Susan Christoffersen is Vice-Dean, Undergraduate & Specialized Programs and a Professor of Finance. Her research focuses on mutual funds and the role of financial institutions in capital markets. She has published in top finance journals and cited in The New York Times, International Herald Tribune, Bloomberg News Service, and The Wall Street Journal. Susan has received grants from SSHRC, IFM2, and FQRSC and research awards from Q-Group, Bank of Canada, BSI Gamma Foundation, INQUIRE, and the Swiss Finance Institute.

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