Wednesday, May 16 – 10:30 a.m.
Innovations in health research, the economy, how we do business, influence on everyday life, and politics and policy, Dr. Strome brings together experts from across the ecosystem to delve into the innovations and implications of AI and deep learning in Canada.
Moderator: Elissa Strome
Elissa is Executive Director, Pan-Canadian Artificial Intelligence Strategy at CIFAR, working with research leaders across the country to implement Canada’s national research strategy in AI.
Elissa completed her PhD in Neuroscience from the University of British Columbia in 2006. Following a post-doc at Lund University, in Sweden, she decided to pursue a career in research strategy, policy and leadership. In 2008, she joined the University of Toronto’s Office of the Vice-President, Research and Innovation and was Director of Strategic Initiatives from 2011 to 2015. In that role, she led a small team dedicated to advancing the University’s strategic research priorities, including international institutional research partnerships, the institutional strategy for prestigious national and international research awards, and the establishment of the SOSCIP research consortium in 2012. From 2015 to 2017, Elissa was Executive Director of SOSCIP, leading the 17-member industry-academic consortium through a major period of growth and expansion, and establishing SOSCIP as Ontario’s leading platform for collaborative research and development in data science and advanced computing.
Dr. Anna Goldenberg
Faculty member at Vector and a fellow at the Canadian Institute for Advanced Research (CIFAR), Child and Brain Development group
Dr. Goldenberg is a Scientist in Genetics and Genome Biology program at the SickKids Research Institute, an Assistant Professor in the Department of Computer Science at the University of Toronto, cross appointed in the Department of Statistics, faculty member at Vector and a fellow at the Canadian Institute for Advanced Research (CIFAR), Child and Brain Development group. Dr Goldenberg trained in machine learning and statistics at Carnegie Mellon University, with a post-doctoral focus in computational biology and medicine. She is an expert in developing machine learning approaches for biological data, network methods and most recently, data integration of omics and clinical data. The current focus of her lab is on developing methods that capture heterogeneity and identify disease mechanisms in complex human diseases. Her translational focus is on methods that efficiently combine many types of patient measurements to refine diagnosis, improve prognosis and personalise drug response prediction for patients with complex human diseases. She was recently awarded an Early Researcher Award from the Ministry of Research and Innovation and a Canada Research Chair in Computational Medicine.
Associate Research Officer at the National Research Council of Canada
The main objective of Dr. Tamblyn’s research is to apply computational methods to applied problems in material science. Recently, his group has been focused on applying the tools of “data science” to the problem of materials. They are interested in using recent advances in machine learning methodologies to develop computationally tractable solutions to hard problems in condensed matter physics, with a focus on applications in the space of renewable energy materials.
Innovation Director, Vector Institute
Darin has over 20 years of experience leading innovative initiatives that take creative ideas to the marketplace. He brings extensive international experience in leading R&D programs and helping build innovation ecosystems in Canada, the United States, New Zealand, and the United Kingdom. A champion of collaboration, he has worked closely with a variety of unique groups to engage industry with academic and research institutions to enhance technology-based applied outcomes, facilitating economic growth through increasing knowledge and helping develop human capital.
Recently as a member of the founding team, Darin helped lead the creation and formation of the Vector Institute – the premier artificial intelligence (AI) research institute in Canada. Darin has just taken on a new role to head-up operational AI activities for Samsung in Canada. He has held the primary leadership position in a number of organizations, including ORION (Ontario’s Research and Innovation Optical Network), NZi3 (New Zealand’s ICT Innovation Institute), and CITO (Communications and Information Technology Ontario, an Ontario Centre of Excellence).
Darin received his PhD in Aerospace Engineering from the University of Toronto, with his thesis focused on advanced neural networks for autonomous robotic control systems; MASc in Aerospace Engineering from the University of Toronto, and BMath in Computer Science and Applied Mathematics from the University of Waterloo.