Thursday, May 17 – 1 p.m.
In this panel, Chris Loken will lead a panel of industry experts to explore near-future technology, such at neuromorphic, FPGA, exascale and more. Experts will share insight into the implications of these technologies for Canadian researchers.
Moderator: Chris Loken,
Chief Technical Officer, Compute Ontario
Dr. Chris Loken has more than two decades of experience in technology and specifically, within high performance computing. For the past 16 years, Dr. Loken has held progressively senior roles at the University of Toronto, most recently as the Chief Technical Officer at SciNet. Prior to this role, Dr. Loken held visiting academic and research roles at New Mexico State University, University of Missouri and St. Mary’s University, Halifax. He obtained his PhD from Queen’s University in Physics and Astronomy.
Juan Felipe Carrasquilla
Research Scientist, Vector Institute
Juan’s research interests are at the intersection of condensed matter physics, quantum computing, and machine learning. Juan combines quantum Monte Carlo simulations and machine learning techniques to analyze the collective behaviour of quantum many-body systems. Applications of these ideas include the identification of phases of matter in numerical simulations and experiments, as well as the validation of near-term quantum devices and quantum simulations of condensed matter systems. He completed his PhD in Physics at SISSA, the International School for Advanced Studies in Italy. He has since held positions as a Postdoctoral Fellow at Georgetown University, Visiting Research Scholar at Penn State University, and Postdoctoral Fellow at the Perimeter Institute. Most recently, Juan was a Research Scientist at D-Wave Systems Inc. in Burnaby, British Columbia and has recently joined the Vector Institute full-time.
Prof. Joseph Emerson
Institute for Quantum Computing & Department of Applied Mathematics, University of Waterloo; Fellow, CIFAR Quantum Information Science Program
Joseph obtained his BSc in physics at McGill University in 1993, followed by a Master’s (1995) degree in experimental nuclear physics from Simon Fraser University (SFU).
The focus of his PhD degree in theoretical physics, also from SFU, was quantum-classical correspondence for chaotic dynamical systems. After his PhD Joseph held postdoctoral positions at Massachusetts Institute for Technology (MIT) and then the Perimeter Institute, where he studied the interface of randomness, decoherence, and quantum chaos, and developed techniques for understanding and overcoming the challenges confronting the practical implementation of quantum information algorithms.
Joseph is currently a faculty member of the Department of Applied Mathematics at the University of Waterloo, studying quantum computing and the foundations of quantum theory. He still does not understand why quantum mechanics is so weird.
Machine Learning Engineering Manager, Intel
Andrew Ling is an engineering manager at Intel, for the deep learning acceleration team within the FPGA business department. Andrew got his Ph.D. from the University of Toronto in the area of CAD for FPGAs and has spent most of his career working in the area of CAD, High-Level Synthesis, and Acceleration for FPGAs.
Chairman, co-CEO, co-Founder, Applied Brain Research
Peter’s love of understanding brains began at the University of Toronto while doing his undergraduate degree in computer science in the early 1980’s. After scanning the world of AI researchers to do a degree under, Peter found Dr. Eliasmith right here at the University of Waterloo in Southern Ontario. Peter believes that Chris and his lab team’s work is ground breaking and is the world’s first scaleable architecture for building true cognition.
Peter has been a director on over sixteen technology company boards, a venture capitalist, a CEO and a technology company founder in the software and robotics sectors. Previously President, Co-Founder & Director then CEO at PharmaTrust where he grew the company with capital and sweat equity from April 2006 to his resignation in June 2011, during which time the team built great technology, changed laws and all in all did the impossible together for the company’s first five years. Prior to that Peter was V.P. Investments at Growthworks Capital Inc., and prior to that principal at Start Seed Capital. Peter started his first company, the award winning SRG Software, while a student in computer science at the University of Toronto.
Peter is completing his MASc in Theoretical and Computational Neuroscience at the University of Waterloo supervised by Chris. Peter holds; an Honours B.Sc. from the University of Toronto; an M.B.A. from the University of Chicago; a P.D.A.M. majoring in Financial Engineering from the Schulich School of Business; an ICD.D from the Institute of Corporate Directors at the Rotman School of Business and an LLM in Securities Law from Osgoode Hall Law School in Toronto.
Research Scientist - IBM Canada Research & Development Centre
Sean Wagner is a research scientist with the IBM Canada Research and Development Centre. He earned his B.A.Sc. in Computer Engineering from the University of Waterloo, and M.A.Sc. and Ph.D. from the Electrical and Computer Engineering Department of the University of Toronto. Sean specializes in high-performance computer hardware and architecture (reconfigurable and heterogeneous systems in particular), and has carried out research in photonics, nanofabrication, and communications systems. In his work with SOSCIP (www.soscip.org), he provides technical leadership to the research consortium and it’s industry/academic collaborative research projects, helping researchers use SOSCIP’s advanced IBM high-performance computing platforms. With research partners at SOSCIP member institutions, Dr. Wagner has helped with the development of numerous projects including accelerating real-time fMRI analysis for neuroscience applications, and accelerating photodynamic cancer therapy planning software.