
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, selfregulated learning, social learning, and higher education policy


Nigel Goddard
Probabilistic modeling of energyrelated 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 largescale electrophysiological recordings


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


Arno Onken
Probabilistic models, in particular copulabased 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, metagenomic, 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 largescale computer systems, approximate inference, statistical processing of natural and programming languages


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


Research Staff
PhD Students
Affiliated Academic Staff
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, HeriotWatt University, Edinburgh
List of ANC Institute Alumni


ANC Workshop: Jun Bao and Arno Onken, Chair, Michael Gutmann
IF 4.31/4.33,
Nov 20, 2018

ANC Workshop: Lazar Valkov and Arturs Bekasovs, Chair: Kai Xu
IF 4.31/4.33,
Nov 27, 2018

ANC Workshop: Elliot Crowley, Chair: Ian Simpson
IF 4.31/4.33,
Dec 04, 2018
