Variational algorithms for Gaussian processes, neural networks and support vector machines. Also work on belief propagation and protein structure prediction.

Vision, Bayesian methods, neural computation.

Visual perception, machine vision, image processing.

Neurally controlled robotics.

Bayesian perception, computer vision, image processing.

Statistical analysis of neural data, experimental design in neuroscience.

Gesture recognition, Gaussian Process priors, control systems, probabilistic intelligent interfaces.

Stochastic generative models for complex visual phenomena.

Statistical learning theory, support vector machines and kernel methods.

Reinforcement learning, machine learning, supervised learning.