Artificial intelligence, generative topographic map, missing data.

Visual coding, statistics of images, independent components analysis.

Statistical physics, information theory and applied probability and applications to machine learning and complex systems.

Learning distributed representation of concepts from relational data.

Neural networks, machine learning, acoustic source separation and localisation, independent component analysis, brain imaging.

Models of human and computer vision.

Gaussian processes, non-linear Bayesian inference, evaluation and comparison of network models.

Hand-written character recognition.

Machine learning and medical data analysis, independent component analysis and information theory.

Research on Machine Learning/Neural Networks/Clustering. Applications to DNA microarray data analysis/industrial automation/information retrieval. Teaching activities.