Industry Day: Statistical Inference, Learning and Models in Data Science
Industry Day: Data Science and AI (Part of the Statistical Inference, Learning and Models in Data Science Conference)
Location: MaRS Discovery District (101 College St, Toronto, ON)
Description
Registration for this event is now closed.
Registration for Statistical Inference, Learning and Models in Data Science includes attendence to this event.
The prices for attendence to this event alone are: Students: CAD30, Faculty: CAD60, Industry: CAD120
“Data Science in Industry” is a day of presentations on September 28, 2018 concluding the week-long workshop “Statistical Inference, Learning and Models for Data Science”, 24 - 27, 2018. At this event we will hear from industry leaders, industry researchers, academics, educators, and start-ups about the challenges faced by industry in the data science space, and the rapidly advancing training efforts being developed locally. This event will also serve as a meet-up for researchers and companies to explore projects of mutual interest.
Schedule
08:00 to 09:00 |
Registration - Coffee and light-breakfast
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09:00 to 09:10 |
Opening Remarks
Nancy Reid, University Professor of Statistical Sciences, University of Toronto, Canada Research Chair in Statistical Theory and Applications, Director, Canadian Statistical Sciences Institute Location:MaRS |
09:10 to 09:50 |
Opening Keynote
Mark Girolami, Imperial College London and The Alan Turing Institute Location:MaRS |
09:50 to 10:10 |
Coffee
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10:10 to 10:40 |
Plenary talk
Hilary Parker, Stitch Fix Location:MaRS |
10:40 to 11:10 |
Moderator: Nathan Taback, Professor, Department of Statistical Sciences, University of Toronto Location:MaRS |
11:20 to 12:00 |
Plenary talk
Jonathan Briggs, CPPIB Location:MaRS |
12:00 to 13:00 |
Lunch
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13:00 to 13:30 |
Plenary talk
Peter Misek, Framework Venture Partners Location:MaRS |
13:30 to 14:00 |
Moderator: Helen Kontozopoulos, Co-founder/director, DCSIL, University of Toronto Location:MaRS |
14:00 to 14:20 |
Coffee
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14:20 to 15:00 |
Plenary Talk
Mads Mihailescu, Georgian Partners Location:MaRS |
15:00 to 15:40 |
Plenary Talk
Ruslan Salakhutdinov, Carnegie Mellon University, Apple Location:MaRS |
15:40 to 16:20 |
Closing Keynote
Garth Gibson, President and Chief Executive Officer, Vector Institute Location:MaRS |
16:20 to 16:30 |
Closing Remarks
Nathan Taback, Associate Professor, Teaching Stream Departments of Statistical Sciences and Computer Science, University of Toronto Location:MaRS |
16:30 |
Networking & reception
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