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Faculty

Douglas Armstrong

Douglas Armstrong

Molecular neuroinformatics, network models, behavioural models

Christopher Bishop

Christopher Bishop

Graphical models, variational methods, pattern recognition                                

 Dragan Gasevic

 

Dragan Gasevic

Learning analytics, educational technology, self-regulated learning, social learning, and higher education policy

 

Nigel Goddard Nigel Goddard

Probabilistic modeling of energy-related systems

Michael Gutmann

 Michael Gutmann

Efficient statistical learning, inference for complex models, unsupervised deep learning, natural image statistics, computational biology

Matthias Hennig

Matthias Hennig

Models of neural networks, homeostasis and development; visual and auditory neuroscience; analysis of large-scale electrophysiological
recordings

Iain Murray

Iain Murray

Bayesian statistics, approximate inference, Markov chain Monte Carlo, scientific data analysis

 Arno Onken
 Arno Onken

Probabilistic models, in particular copula-based models; Dimensionality reduction techniques; Information theory; Applications to biological systems

 

Guido Sanguinetti

Guido Sanguinetti

Probabilistic modeling of biological systems, dynamics of regulatory networks, computational epigenetics, spatiotemporal systems

 
 Rico Sennrich  Rico Sennrich
 

Machine translation, natural language processing, deep learning

 Peggy Series  

Peggy Seri├Ęs

Bayesian approaches to cognition and perception

Richard Shillcock

Richard Shillcock

Word recognition and reading; hemispheric interaction; philosophy of cognitive modelling and theory construction; synaesthesia; artificial grammar learning

Ian Simpson

Ian Simpson

Regulatory genomics, bioinformatics and computational biology. Neural development and function especially in cortical structures and in relation to cognition, learning and memory using genomic, meta-genomic, transcriptomic and proteomic data.

Amos Storkey

Amos Storkey

Structured machine learning and big data: Bayesian methods, Machine Learning Markets, deep learning, learning temporal systems, neural computation. Applications in image analysis, brain imaging, and medicine.

Charles Sutton

Charles Sutton

Probabilistic modeling of large-scale computer systems, approximate inference, statistical processing of natural and programming languages

Mark van Rossum

Mark van Rossum

Computational neuroscience: synaptic plasticity, noise in neural systems, the early visual system, the retina

Williams.jpg

 Chris Williams

 Gaussian processes, image interpretation, unsupervised learning, deep learning, time series models


Research Staff

David Sterratt David Sterratt Michael Rule
Michael Rule
Mingjun Mingjun Zhong
Oksana Oksana Sorokina Martin Pullinger Martin Pullinger Colin Colin McLean
David Schnoeer David Schnoerr
Sohan Seth
Sohan Seth
Evan Morgan
Evan
Morgan
 Lynda Webb
Lynda Webb
 Dimitrios Milios Dimitrios Milios
 Elliot Crowley Elliot Crowley
 Giulio Caravagna  

Giulio Caravagna




 Edward Wallace Edward Wallace  Gabriele Schweikert Gabriele Schweikert

 

 

PhD Students


Affiliated Academic Staff


Associate Members


Alumni

List of ANC Institute Alumni