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!
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.
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.