Rotman School of Management, University of Toronto

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Team

Susan Christoffersen

Susan Christoffersen, Co-Academic Director, 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.


Matthew Mitchell

Matthew Mitchell, Co-Academic Director

Matthew Mitchell is a Professor of Economic Analysis and Policy. His research focuses on the economics of innovation, incentive contracts and industrial organization. He is interested in how the organization of industries and the nature of contracts impacts incentives to innovate, and how in turn the technology that comes from innovation impacts the organization of industry. He is currently a co-Editor at Journal of Industrial Economics, and an Associate Editor at the RAND Journal of Economics and the Journal of Economic Theory.

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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 TD-MDAL, he supports an analytics computing platform, and helps students and researchers to apply big data and machine learning tools to solve complex management problems.

E: Jay.Cao@Rotman.Utoronto.Ca


Meghan Chayka

Meghan Chayka, Data Scientist in Residence

Meghan Chayka is an entrepreneur and the co-founder of Stathletes, a sports analytics and insights business that provides industry leading data precision within the sport of hockey. Meghan has built a team in Niagara, Waterloo and Toronto working on creating the new era of sports technology. Having a wide variety of clients, Meghan was named in the 2018/2019 season Top Young Entrepreneur of the Year (Ontario Chamber of Commerce), Top 40 under 40 (The Athletic NHL), and on the Top 100 of Power & Influence in the Hockey News. At Rotman, she plays a key role in shaping the data science education and research through her work at the TD Management Data and Analytics Lab, including involvement in external, internal, and student-led events focused on data science.

E: meghan@stathletes.com

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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.

E: Brian.Keng@Rotman.Utoronto.Ca

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Niti Mishra, Research Associate

Niti Mishra is a Research Associate at the TD Management Data and Analytics Lab. She works with the faculty on building infrastructure needed to support big data research and teaching needs in analytics. She has extensive experience in applying machine learning and statistical algorithms to real-world problems in research and banking. At TD-MDAL, she provides end-user support for the Rotman teaching and research computing clusters and consultation on data science and big data related inquiries.

E: Niti.Mishra@rotman.utoronto.ca


Valeria Sladojevic-Sola, Executive Assistant

Valeria Sladojevic-Sola is the Executive Assistant at the TD Management Data and Analytics Lab. She manages and supports all operational aspects of the lab with a focus on executive administration, as well as promotions and event coordination.

E: Val.Sladojevic.Sola@Rotman.Utoronto.Ca


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.

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