The Institute of Advanced Data Science hosts a number of Research Groups linked across several key themes. Our Research Groups work at the coalface of major national societal challenges, integrating with the wider Alan Turing Institute themes.
Artificial Intelligence and Data
The Computer Vision Group studies the extraction of object behaviour models and dynamic face models from image sequences and live video. Core expertise includes deep learning for generic visual computation, statistical modelling for pattern recognition, algebraic methods for visual information processing, biologically inspired mathematical modelling, zero-shot learning for scalable visual recognition, unsupervised learning for data structure discovery and human-in-the-loop modelling for adaptive model learning.
The Centre for Intelligent Sensing studies user-generated multimedia content and the use of new signal processing techniques for things like stream synchronisation, person re-identification, scene analysis and content production (e.g. for security, cultural and entertainment applications). Core expertise includes camera and sensor networks, image and signal processing, computer vision, pattern recognition, reconstruction and rendering, 3D graphics and bio-inspired computing.
The Centre for Advanced Robotics studies machine learning in robotics and human-robot interaction. Core expertise includes the use of data science to interpret human-computer sensor inputs , including data streams with significant throughput and real-time requirements, as well as translating such information into meaningful, autonomous actions (e.g. for surgical robotics).
The Operational Research Group studies the mathematical and computational modelling of complex environments such as modern airport networks and hospital administration systems. This modelling underpins the exploration of innovative decision support methodologies in a variety of real world application areas. Core expertise includes optimization theory, game theory, genetic algorithms, alongside applied expertise in financial modelling and digital humanities.
The Risk and Information Management Group studies problems of decision-support under uncertainty using methods from computer science, statistics, machine learning and psychology, to solve problems and challenges presented by scale, complexity and variability. Core expertise includes processing of limited or incomplete datasets, causal Bayesian networks and hypothesis-driven approaches to data analytics.
Complex Structure in Data
The Complex Systems and Networks Research Group studies how complex systems self-organise and how various collective behaviours emerge through non-trivial networks. Core expertise includes the use of mathematical tools for graph theory, statistical mechanics and non-linear dynamics, big data analysis and large-scale numerical simulations.
The Statistics and Data Science Research Group studies statistical methods which are of practical use to the discipline of statistics, as well as other scientific disciplines, policy makers and industry. Core expertise includes data analysis, statistical methods, algebraic topology, stochastic topologies and computational Geometry.
Social Computing & Ethics in Data Science
The Social Data Science Lab studies the use of computational and data science methods to analyse social phenomena through (often large-scale) datasets. Core expertise include analysis of the web and social media, online human behaviour, cybersafety, and the associated implications.
The School of Law, in collaboration with The Centre for Intelligent Sensing, studies the interdisciplinary challenges of privacy in the era of pervasive sensing and big data. Core expertise includes the ethics of video surveillance, social media, health and biometric data.
The Cognitive Science Research Group studies human cognition, action and interaction on scales ranging from individual experience, through interactions between individuals, to the languages, cultures and dynamics of societies. Core expertise includes mixed-method approaches, empirical experimentation, natural language processing, dialogue modeling and social computing.
The Networks Research Group studies innovative data-driven ways of improving Internet infrastructure, through Internet and Web measurements. Core expertise includes software defined networking, content delivery networks, network economics and optimisation of network hardware.
Health and Medical Sciences
Barts and The London School of Medicine and Dentistry studies the use of health data for streaminling medical intervention and improving health outcomes. Core expertise includes genomic data, electronic health records and population health modelling. It hosts Genomics England and owns the Genomics England safe haven data centre (Professor Mark Caulfield is the Chief Scientist). These projects involve the analysis of human genomes, linking and integrated with identifiable and de-identified health records. East London Genes & Health is a long term programme for population genomic medicine research in British South Asians with lifelong access to care health records and national NHS datasets providing longitudinal e-health data. NHS Discovery East London aims to analyse health records from 1.2 million patients in City & Hackney, Tower Hamlets, Newham, and Waltham Forest to support personal medical care.
The Draviam Lab studies fundamental questions in the context of dividing human cells, and applies the molecular knowledge on force generation and cell division to accelerate cytoskeletal drug discovery and drug resistance biomarker research. Core expertise includes single-cell microscopy, and the application of computer vision to biological problems.