Vijaykumar’s research interests lie in the general area of computer architecture, compilers, and systems with a focus on the interaction between programming models, systems, and architectures. He is also interested in building algorithms for inference and learning in deep generative models of time-series data. He is the lead scientist of the artificial intelligence team for Peter Munk Cardiac Centre at University Health Network. He was a founding member of the AlphaGo project, which received the IJCAI Marvin Minsky Medal for Outstanding Achievements in AI in 2018. Foerster received a CIFAR AI chair in 2019. Soden holds a PhD in Computer Science from the University of Colorado Boulder, a master's degree in Natural Resources and Sustainable Development from American University and bachelor’s degrees in History and Political Science from the University of Illinois, Chicago. In 2019 he joined the faculty of the University of Washington as an affiliate assistant professor in the physics department and Pacific Northwest National Labs as a senior scientist. Chinatown, Kensington Market, Little Italy, the Annex and Yorkville are just a few of the popular destinations located within walking distance of our offices on the University of Toronto’s St. George (downtown) campus. He is the technical lead of DRL's autonomous driving research team and serves as an advisor to MIT’s driverless racing team. Alex is a recipient of the National Science Foundation Graduate Research Fellowship, the Qualcomm Innovation Fellowship, and the Gaetano Borriello Outstanding Student Award at UbiComp 2018. Vijaykumar’s research interests lie in the general area of computer architecture, compilers, and systems with a focus on the interaction between programming models, systems, and architectures. He works on the methodology of machine learning, with an emphasis on algorithms that work at scale in deep learning applications.
We wish to acknowledge this land on which the University of Toronto operates. Expanding on Turing’s concept of computability – what a computer can and cannot solve – to include efficiency. Wang’s research areas include machine learning and computational biology. Alex Mariakakis joins the Department of Computer Science as an assistant professor. Phone: 416.208.4745.
Bo Wang joins the Department of Laboratory Medicine and Pathobiology and the Department of Computer Science as an assistant professor.
Krishnan's research focuses on building novel machine learning algorithms to automate clinically meaningful problems, and to advance our understanding of human health. Assistant Professor, Teaching StreamStarted July 1, 2020. Since 1964, our researchers' work has had a major impact on the field: Genesys, developed in 1967-9, one of the earliest interactive computer animation systems.
He is a recipient of the Alfred P. Sloan Research Fellowship and the NSF CAREER Award.
He is the recipient of best paper awards from the American Control Conference, the International Conference on Information Fusion, and the Robotics and Automation Letters. His primary research examines how smartphone sensors can be used to objectively measure symptoms that are typically judged qualitatively.
She has received several honours including a Tier 1 Canada Research Chair in Genome Data Sciences.
Her recent interests are also in the system-level and programming challenges of large-scale machine learning and robotics. Known for its vibrant culture and arts scene, Toronto is a network of multicultural neighbourhoods.