|
You
are here:
Home
→
People
- Info
People
Faculty
 |
Douglas Armstrong
Molecular neuroinformatics, network models, behavioural models
|
 |
Christopher Bishop
Graphical models, variational methods, pattern recognition
|
 |
Dragan Gasevic
Learning analytics, educational technology, self-regulated learning, social learning, and higher education policy
|
 |
Nigel Goddard
Probabilistic modeling of energy-related systems
|

|
Michael Gutmann
Efficient statistical learning, inference for complex models, unsupervised deep learning, natural image statistics, computational biology
|
 |
Matthias Hennig
Models of neural networks, homeostasis and development; visual and auditory neuroscience; analysis of large-scale electrophysiological recordings
|
 |
Iain Murray
Bayesian statistics, approximate inference, Markov chain Monte Carlo, scientific data analysis
|

|
Arno Onken
Probabilistic models, in particular copula-based models;
Dimensionality reduction techniques; Information theory; Applications to
biological systems
|
 |
Guido Sanguinetti
Probabilistic modeling of biological systems, dynamics of regulatory networks, computational epigenetics, spatiotemporal systems
|
|
|
 |
Rico Sennrich
Machine translation, natural language processing, deep learning
|
 |
Peggy Seriès
Bayesian approaches to cognition and perception
|

|
Richard Shillcock
Word recognition and reading; hemispheric interaction; philosophy of cognitive modelling and theory construction; synaesthesia; artificial grammar learning
|
 |
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
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
Probabilistic modeling of large-scale computer systems, approximate inference, statistical processing of natural and programming languages
|
 |
Mark van Rossum
Computational neuroscience: synaptic plasticity, noise in neural systems, the early visual system, the retina
|

|
Chris Williams
Gaussian processes, image interpretation, unsupervised learning, deep learning, time series models
|
|
Research Staff
PhD Students
Affiliated Academic Staff
- Professor Wayne Davies, Brainwave-Discovery Ltd
- Irina Erchova, Informatics
- Dirk Husmeier, BioSS
- Gareth Leng, Centre for Integrative Physiology
- Alan Murray, School of Engineering and Electronics
- Jon Oberlander, Informatics
- David Price, Biomedical Sciences
- Mark Steedman, Informatics
- Sethu Vijayakumar, Informatics
- Barbara Webb, Informatics
Associate Members
- Felix Agakov, School of Public Health, Edinburgh
- Gordon Arbuthnott, Okinawa Science & Technology
- Dean Baker, University of Cambridge
- Andrew Blake, Microsoft Research, Cambridge
- Catherine Breslin, Scottish Biomedical, Glasgow
- John Hallam, University of Southern Denmark
- Rosanna Maccagnan, School of Geosciences
- Mark Orr, Analith Limited
- Carl Rasmussen, University of Cambridge
- Nick Taylor, Heriot-Watt University, Edinburgh
List of ANC Institute Alumni
|
|