Cover Image for DSI Talent Showcase 2027
Cover Image for DSI Talent Showcase 2027
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The Data Sciences Institute multidisciplinary hub for data science activity at the University of Toronto.
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About Event

​Join us for our Talent Showcase featuring emerging talent in data science and AI alongside researchers and industry leaders driving the future of AI, machine learning, and data science. Whether you're scouting top-tier talent, exploring partnership opportunities, or curious about what’s next in data science and AI, this is where ideas meet action.

​What to Expect

  • ​Inspiring Keynote: Hear from Dr. Carter Cousineau, Vice President, Enterprise AI, Technology and Data at Hydro One

  • ​A lively poster session featuring applied research by DSI Fellows, undergraduates and trainees, and Masters student from across U of T.

  • ​Networking opportunities with top talent, faculty, and data-driven organizations

  • ​A chance to connect with rising talent ready to tackle real-world challenges

​If you signed up to present a poster, you do not need to register via Luma.


​Agenda

​2:00-2:30 | Registration

​2:30-2:35 | Welcome and Opening Remarks: Dr. Lisa Strug, Director, Data Sciences Institute

​2:35-3:30 | Keynote: Dr. Carter Cousineau, Vice President, Enterprise AI, Technology and Data, Hydro One

​3:30-5:45 | Poster session & Networking

​5:45-6:00 | Closing Remarks & Open Networking


​2027 Keynote Speaker

​Dr. Carter Cousineau is a global technology executive with a track record of leading enterprise AI, data and digital transformation.

​Currently at Hydro One, enterprise-wide accountability for all enterprise applications, systems integration, ERP, data, AI, CRMs, digital channels, customer and employee experience at one of Canada’s largest electricity transmission and distribution providers. Her career spans global executive roles at Thomson Reuters, where she led a 250+ person organization, consistently combining technical depth with enterprise-scale execution and engaged often with customers and regulators.

​Known for building high-performing teams and scaling AI adoption across large, complex organizations, she holds a Doctorate (PhD) in Computational Sciences and a Master’s in Engineering and Technology Practice, and has been recognized with the Global Technology Leadership Award and CDO Magazine’s Global Data Power Women x2 honor.


​2027 Industry Partner   

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​Interested in featuring your company? Contact partnerships.dsi@utoronto.ca

Location
700 University Ave
Toronto, ON M5G 1X6, Canada
Avatar for Data Sciences Institute
The Data Sciences Institute multidisciplinary hub for data science activity at the University of Toronto.