معرفی
Jeff Orchard is an Associate Professor at the Cheriton School of Computer Science, University of Waterloo, with cross-appointments to the Department of Applied Mathematics and Department of Education. He directs the Neurocognitive Computing Lab and is a core member of the Centre for Theoretical Neuroscience. In 2022, he completed a 6-month sabbatical at the International Centre for Neuromorphic Systems (Western Sydney University).
- Education:
- PhD in Computing Science, Simon Fraser University (2003)
- MSc in Applied Mathematics, University of British Columbia (1996)
- BMath in Applied Mathematics, University of Waterloo (1994)
Dr. Orchard's research focuses on understanding the brain through computational and mathematical modeling, particularly through neural networks, predictive coding, and vector symbolic architectures. His work bridges neuroscience, machine learning, and neuromorphic engineering, seeking mechanistic rules governing cognition and behavior. Earlier research involved medical image processing, including MRI motion compensation, image denoising, and retinal vessel segmentation.
Recent publications (2022-2025) highlight his exploration of biologically-plausible learning algorithms, neuromorphic computing, and AI alignment through active inference models. His work on predictive coding networks and hyperdimensional computing demonstrates interdisciplinary innovation across computer science, mathematics, and cognitive neuroscience.
