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ABOUT
ABOUT
The University of Toronto annual AI conference is a two-day event, aimed at furthering discourse around the cutting-edge of Artificial Intelligence (AI) and Machine Learning (ML).
This event will host leading researchers, industry professionals and some of the brightest undergraduate students in Canada. Our vision is to encourage conversation around recent developments in AI and provide our attendees with the opportunity to expand their network and gain exposure to new opportunities.
Our 2023 UofT AI Conference will also host the winners of our annual undergraduate ML research competition, Project X. This year, the research topic for Project X is Human-Computer Interaction. In addition, the winners will be presenting their research at the conference!
SPEAKERS
OUR SPEAKERS
Tomi Poutanen
Tomi is presently the co-founder and CEO of Signal 1, a Health AI startup that focuses on transforming patient care through responsible AI. He has also been a co-founder of Layer 6, a co-founder of Vector Institute, and formerly the Chief AI Officer at TD. Prior to Layer 6, Tomi founded three technology companies with exits to Microsoft and Yahoo!. He is a founding fellow at the Creative Destructive Lab, the world's largest AI venture accelerator. Tomi holds an MSc in Computer Engineering and an MBA from the University of Toronto.
Nick Frosst
Nick Frosst is computer science and cognitive science alumnus from the University of Toronto, former employee of the Toronto Google Brain Office, co-founder of the artificial intelligence start-up, Cohere Inc, and founder of UofTAI. Frosst worked with Geoffrey Hinton to kick-off the Toronto Google Brain Office together. During his time in the Google Brain Office, Frosst conducted research on machine learning with a focus on capsule networks, adversarial examples, and explainability. Frosst co-founded Cohere Inc. in 2020, to aid companies in improving their human-machine interaction, and is currently the CTO.
Franziska Boenisch
Franziska is a Postdoctoral Fellow at the Vector Institute in Toronto. She obtained her PhD at the Computer Science Department at Freie University Berlin. During her PhD, Franziska was a research associate at the Fraunhofer Institute for Applied and Integrated Security, Germany. Her research focuses on trustworthy machine learning and privacy. She received a Fraunhofer grant for outstanding female early career researchers and the German Industrial Research Foundation prize for her applied research.
Yigit Alp Elmas
Yigit is the co-founder and the acting CEO of T-Fashion, an AI-powered fashion trend forecasting and generative design platform.
Through his startup, Yigit strives to provide customized fashion analytics and AI-generated design recommendations to fashion companies. In order to pin-spot fashion trends all around the world, T-Fashion analyzes millions of data points created by the defined target audience, influencers, trendsetters, and different brands. It uses different state-of-the-art AI technologies: from object detection to generative modeling.
Through his startup, Yigit strives to provide customized fashion analytics and AI-generated design recommendations to fashion companies. In order to pin-spot fashion trends all around the world, T-Fashion analyzes millions of data points created by the defined target audience, influencers, trendsetters, and different brands. It uses different state-of-the-art AI technologies: from object detection to generative modeling.
Karina Vold
Dr. Karina Vold is a philosopher of cognitive science and artificial intelligence, and an assistant professor at the University of Toronto's Institute for the History and Philosophy of Science and Technology. In her recent work, Vold has written on the implications of theories of extended cognition, on responsible innovation in online therapy, and on the capabilities and risks of AI. Her current projects include researching the effects of AI on human cognition and autonomy, understanding the harms arising from targeted online “nudging,” evaluating arguments for existential threats from AI, and building frameworks for the ethical design of AI systems.
Jimmy Ba
Jimmy Ba completed his PhD under the supervision of Geoffrey Hinton, widely regarded as the godfather of AI. Both his master's (2014) and undergrad degrees (2011) are from the University of Toronto under Brendan Frey and Ruslan Salakhutdinov. He is currently the CIFAR AI chair and was a recipient of the Facebook Graduate Fellowship 2016 in machine learning.
David Duvenaud
David Duvenaud is an Associate Professor in Computer Science and Statistics at the University of Toronto. He holds a Sloan Research Fellowship, a Canada Research Chair in Generative Models, and a CIFAR AI chair. His research focuses on continuous-time models, approximate inference, and deep learning. His postdoc was done at Harvard University, working mainly on convolutional networks for graphs. He did his Ph.D. at the University of Cambridge, working mainly on Bayesian nonparametrics. His undergraduate degree is from the University of Manitoba. David also co-founded Invenia, an energy forecasting company, and is a Founding Member of the Vector Institute for Artificial Intelligence.
Bo Wang
Dr. Bo Wang is expanding the Artificial Intelligence education in LMP (alongside Dr. Rahul G. Krishnan) and has recently launched a new graduate course on Basic Principles of Machine Learning in Biomedical Research.
Jointly appointed in the departments of Laboratory Medicine & Pathobiology and Computer Science, Professor Wang obtained his PhD from the Department of Computer Science at Stanford University in 2017 under the supervision of Serfami Batzoglou. His PhD work focused on developing algorithms for solving problems in computational biology with an emphasis on cancer subtype prediction and single-cell analysis.
For the past year, he has led the Artificial Intelligence (AI) team for Peter Munk Cardiac Center (PMCC) of the University Health Network (UHN) and he will continue to be affiliated with the Program.
Prior to joining LMP, he was a member of the Department of Medical Biophysics and cross-appointed in the Department of Surgery.
Professor Wang holds a Canada CIFAR Artificial Intelligence Chair from the Vector Institute. He has multiple first-authored papers in journals such as Nature Methods and Nature Communications.
Jointly appointed in the departments of Laboratory Medicine & Pathobiology and Computer Science, Professor Wang obtained his PhD from the Department of Computer Science at Stanford University in 2017 under the supervision of Serfami Batzoglou. His PhD work focused on developing algorithms for solving problems in computational biology with an emphasis on cancer subtype prediction and single-cell analysis.
For the past year, he has led the Artificial Intelligence (AI) team for Peter Munk Cardiac Center (PMCC) of the University Health Network (UHN) and he will continue to be affiliated with the Program.
Prior to joining LMP, he was a member of the Department of Medical Biophysics and cross-appointed in the Department of Surgery.
Professor Wang holds a Canada CIFAR Artificial Intelligence Chair from the Vector Institute. He has multiple first-authored papers in journals such as Nature Methods and Nature Communications.
OUR PANELISTS
PANELISTS
Jai Mansukhani
Jai Mansukhani is a 3rd year computational cognition student at the University of Toronto and a co-founder of Ace It. Jai Served as one of the directors of partnerships for Uoft AI and has a strong interest in technology and AI. Jai is responsible for shaping the functionality, user experience, new features and operational capacity of the company's platform . Jai operates as the Co-CEO and COO of Ace It.
Naveed Tagari
Naveed Tagari is a self-motivated individual with a passion for leadership and community engagement. With experience in marketing, partnerships, strategy and team management Naveed is a strategic programs and partnerships lead at the number 1 university based incubator in the world - The DMZ His passion lies in the sports business world & the not-for-profit sector. Naveed is a program lead for the student based incubator program at The DMZ and has recently headed the newcomer entrepreneurship program that helps newcomers to Ontario develop capacity on the business fundamentals of starting a company within Canada. Naveed is also currently doing his MBA at Toronto metropolitan university!
Pashan Sidhwa
Pashan Sidhwa is an honors mechanical engineering student at the University of Waterloo and a co-founder of Ace It. He is dedicated to finding solutions to the challenges faced by students like himself and plays a key role in the app's design, functionality, exec decisions and financial planning of the company. Pashan operates as the Co-CEO and CFO of Ace It.
Agostino Menna
Agostino Menna - Dr. Agostino Menna was the principal co-founder of KnowQuest Inc., an EdTech startup in Toronto, Canada. He has held various academic positions including Toronto Metropolitan University, Niagara University, and Brock University. He is currently an Assistant Professor at John Molson School of Business (Concordia University). He participated in several incubators including Communitech (Waterloo), Spark Niagara, and is most recently involved with CUBE and The Hatchery from the university of toronto. He has also worked in the capital markets, scaling and funding technology startup with RGAEX. Investments. His research lies at the intersection of innovation, technology commercialization, economics, and entrepreneurship. He holds a PhD from the University of Toronto.
OUR PARTNERS
OUR PARTNERS
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