Scholar
Graham Taylor
Google Scholar ID: PUeKU8kAAAAJ
University of Guelph and Vector Institute for Artificial Intelligence
Citations & Impact
Citations
18,078
H-index
49
i10-index
117
Publications
20
Co-authors
33
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published an article on harnessing artificial intelligence to fill global shortfalls in biodiversity knowledge (published in Nature Reviews on 2025-02-20); CLIBD paper accepted to ICLR 2025; BIOSCAN-5M Dataset paper accepted to NeurIPS 2024 Datasets & Benchmarks Track; One paper accepted at CVPR 2023; Supervised multiple Master's and PhD students in completing their theses; Team members received NSERC & OGS awards.
Research Experience
- Joined the School of Engineering at the University of Guelph as an Assistant Professor in 2012; Promoted to Associate Professor and became a member of the Vector Institute for Artificial Intelligence in 2017; Honored as one of Canada's Top 40 under 40 in 2018; Named a Canada CIFAR AI Chair in 2019; Visiting Faculty member at Google Brain, Montreal, from 2018-2019; Promoted to Professor and became Interim Research Director at the Vector Institute in 2021; Became Vector's Research Director in 2022; Concluded tenure as Research Director at the Vector Institute at the end of 2023 to focus more on research.
Education
- Received a PhD in Computer Science from the University of Toronto in 2009, advised by Geoffrey Hinton and Sam Roweis. Spent two years as a postdoc at the Courant Institute of Mathematical Sciences, New York University, working with Chris Bregler, Rob Fergus, and Yann LeCun.
Background
- Research interests span several topics in deep learning, such as how to effectively learn with less labeled data and how to build human-centered AI systems. Interested in methodologies like generative modeling, graph representation learning, and sequential decision making. Also pursues applied projects that leverage computer vision to mitigate biodiversity loss.
Miscellany
- Leads the Machine Learning Research Group at the University of Guelph.
