My main research interests are in protein structure prediction and analysis, simulations of protein folding, Hidden Markov Model methods, transmembrane protein analysis, machine learning applications in bioinformatics, de novo protein design methodology, and genome analysis including the application of intelligent software agents. New areas of research include the use of high throughput computing and very large scale machine learning for bioinformatics applications, analysis and prediction of protein disorder, expression data analysis and the analysis and prediction of protein function and protein-protein interactions using deep learning techniques. Over the years I have authored a number of widely-used bioinformatics tools such as PSIPRED, GenTHREADER, MEMSAT and DISOPRED (see group pages for a full list with download links). From 2016 to 2018 I worked with Google DeepMind on the AlphaFold project and I was also one of the founders of UCL "spin out" company Inpharmatica Ltd. The company, which at one point employed over 100 people in Central London, was bought by Galapagos NV in 2007. More on Inpharmatica here and here.