Professor David MacKay FRS
University position
Professor
Professor David MacKay FRS is pleased to consider applications from prospective PhD students.
Departments
Home page
http://www.inference.phy.cam.ac.uk/mackay/ (personal home page)
Research Theme
Interests
Bayesian inference and information theory; computation, learning, and memory in neural network models, including probabilistic and spike-timing-based models.
Human-computer interfaces based on information theory, especially aimed at disabled people, using any muscle - gaze tracking, head tracking, brain-computer interfaces.
Public understanding of science, especially energy arithmetic.
Research Focus
Keywordsinformation theory bayesian inference HCI neural networks neural circuit |
Clinical conditionsAll physical disabilities, especially those that benefit from augmentative communication aids Autism Learning disabilities Stroke |
Equipment
Computational modelling
Gaze-tracking
Collaborators
No collaborators listed
Key publications
MacKay DJC (2003), “Information Theory, Inference, and Learning Algorithms” Cambridge University Press.
Ward DJ, MacKay DJC (2002), “Fast Hands-free writing by Gaze Direction” Nature 418:838
Research and Collaboration
News, events and seminars
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