 Event: Industry Day: Data Science and AI (Part of the Statistical Inference, Learning and Models in Data Science Conference) Date: September 28, 2018 Location: MaRS Discovery District (101 College St, Toronto) Agenda: 9am 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 Helen Kontozopoulos, Co-Founder, Department of Computer Science Innovation Lab, University of Toronto. 9:10am Opening Keynote, Mark Girolami, Imperial College London and The Alan Turing Institute 10:10am Plenary talk, Hilary Parker, Stitch Fix 10:40am Panel: Training Talent for Data Science Moderator: Nathan Taback, Professor, Department of Statistical Sciences, University of Toronto Panelists: Matt Medland, Director, Professional Programs & External Relations Assistant Professor, Teaching Stream Department of Computer Science, University of Toronto Melissa Sariffodeen, Co-Founder & CEO, Canada Learning Code Javier Moreno, Senior Data Scientist, Rubikloud 11:20am Plenary talk, Jonathan Briggs, CPPIB 1pm Plenary talk, Peter Misek, Framework Venture Partners 1:30pm Panel - Startups: Challenges and Opportunities in Data Science and AI Moderator: Helen Kontozopoulos, Co-founder/director, DCSIL, University of Toronto Panelists: Nahim Nasser, CTO, STACK Periklis Andritsos, CTO, ODAIA 2:20pm Plenary Talk, Mads Mihailescu, CTO, Georgian Partners 3pm Plenary Talk, Ruslan Salakhutdinov, Carnegie Mellon University, Apple 3:40pm Closing Keynote, Garth Gibson, President and Chief Executive Officer, Vector Institute 4:20pm Closing Remarks Nathan Taback, Associate Professor, Teaching Stream Departments of Statistical Sciences and Computer Science, University of Toronto Organising Committee: Helen Kontozopoulos, Co-founder/director, DCSIL, University of Toronto Nathan Taback, Associate Professor, Teaching Stream Departments of Statistical Sciences and Computer Science, University of Toronto Nancy Reid, University Professor of Statistical Sciences, University of Toronto, Canada Research Chair in Statistical Theory and Applications, Director, Canadian Statistical Sciences Institute Matt Medland, Director, Professional Programs & External Relations Assistant Professor, Teaching Stream Department of Computer Science, University of Toronto  Mark Girolami, Imperial College London and The Alan Turing Institute  Moderator: Helen Kontozopoulos, Co-founder, DCSIL, University of Toronto Panelists: Nahim Nasser, CTO, STACK Periklis Andritsos, CTO, ODAIA.AI  Garth Gibson, President and Chief Executive Officer, Vector Institute  Ruslan Salakhutdinov, Carnegie Mellon University, Apple  Mads Mihailescu, CTO, Georgian Partners  Jonathan Briggs, CPPIB
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FIC 2017
May 12, 2017 University of Toronto THE FUNDING INNOVATION CONFERENCE WILL BRING TOGETHER INNOVATORS, DCSIL'S COHORT STARTUPS, VENTURE CAPITALISTS & FUNDING PROFESSIONALS TO TORONTO. TO EXPLORE HOW INNOVATIONS IN ARTIFICIAL INTELLIGENCE, AR/VR, CYBERSECURITY, MACHINE LEARNING, BLOCKCHAIN, AND DATA SCIENCE ARE BEING FUNDED IN THE EARLY STAGES OF DEVELOPMENT. Event director and contact: Helen Kontozopoulos, Co-Founder, Department of Computer Science Innovation Lab. Date: May 12, 2017 Time: 8:30 - 6:00pm Location: MacLeod Auditorium (MSB), 1 King's College Cir, Toronto, ON M5S 1A8, UofT Presented by: Department of Computer Science Innovation Lab (DCSIL), University of Toronto FIC AGENDA Registration Begins: 8:30am 9:00am - 9:15am Opening remarks Mario Grech, Co-Founder/Director, DCSIL Derek Newton, Assistant Vice-President, Innovation, Partnerships and Entrepreneurship, University of Toronto 9:15am - 9:45am Keynote John Ruffolo, CEO, OMERS Ventures 9:45 - 10:45am Artificial Intelligence Panel Moderator: Philip Poulidis, GM, Marvell Richard Zemel, Research Director, Vector Institute Giri Amarakone, Co-Founder, DeepPixel Steve Reid, CTO, Veerum Madalin Mihailescu, Director of Technology, Georgian Partners Break 10:45am - 11:00am 1:00am - 11:30am Cybersecurity Panel Moderator: Martin Croteau, Director, Academic Entrepreneurship, Ontario Centres of Excellence Kumar Murty, Chair of the Department of Mathematics, University of Toronto Nitin Chopra, Principal, Shasta Ventures 11:35am - 12:20pm Blockchain Panel Moderator: Matthew Spoke, CEO, Nuco.io Sujan Menezes, Industry Manager, Financial Services, Microsoft Canada Peggy Van de Plassche, VP Innovation, CIBC Michael Horowitz, CEO, Chaintech Capital Lunch 12:20pm - 1:30pm 1:30pm - 1:50pm Welcome back & Introducer: Paul Gries, Professor, Department of Computer Science, University of Toronto, Co-Founder, DCSIL Data Visualization Mike Branch, Vice President Business Intelligence, GEOTAB 1:55pm - 2:45pm Data Science Panel Moderator: Nathan Taback, PhD, Statistical Sciences, University of Toronto Vera Nenadovic, Founder, Brainsview Carolina Simões Gomes, Co-Founder, Chopin Nitin Chopra, Principal, Shasta Ventures Christina Cai, Co-Founder, Knowtions Research Break 2:45pm - 3:00pm 3:00pm - 3:40pm AR & VR Presentations & Panel Moderator: Nigel Newton Karan Singh, Co-Founder, JanusVR Matt McPherson, Quantum Capture Prashant Matta, Senior Associate, OMERS Ventures Ken Yang, Co-Founder, Eyetap Technologies 3:40pm - 4:30pm Machine Learning Panel Moderator: Ramy Nassar Frances Schwiep, Principal, Comcast Ventures Philip Poulidis, GM, Marvell Ali Punjani, Co-Founder, Structura Wayne Pau, Development Architect at SAP 4:35pm - 5:00pm Presenter & Introducer: Maya Medeiros, Partner, Norton Rose Fulbright Keynote Dr. Ron Dembo, CEO & Founder, Zerofootprint 5:00pm - 5:15pm Closing remarks and the Future of Emerging Technology. Helen Kontozopoulos, Co-Founder/Director, DCSIL Networking Reception 5:15pm ABOUT DCSILThe Department of Computer Science Innovation Lab (DCSIL) is where founders are made. It is a recognized early stage campus linked accelerator that is founded and run by serial entrepreneurs for the University of Toronto’s Department of Computer Science; one of the most highly rated and respected CS departments in the world. DCSIL accommodates a variety of innovation sources and commercialization channels and accelerates multiple sources of innovation from class, research,f aculty, outside ventures and industry. |