Dr Denise Gorse
 
Member of the Intelligent Systems group

Research

• Bioinformatics (methods for predicting local protein structure, repeating motifs, interface regions in multi-subunit complexes)
• Novel methods for global minimisation (chaperone-based techniques for finding nativelike states of heteropolymer energy functions; smoothing transformations for avoiding local minima in neural network training)
• Hardware-realisable stochastic neural networks (spike-based stochastic computing using the pRAM model; applications in pattern recognition and control)