World-class data experts

We are a multi and interdisciplinary Institute, bringing together expertise in analytics and data science from across our University.

Our experts include:

  • computer and electronic engineering scientists
  • statisticians and mathematicians
  • bioinformatics and biomedical scientists
  • social and political scientists
  • economists and finance experts
  • digital humanities experts
  • human rights experts
  • ethics and legal experts

Our academics and researchers are leading the way internationally in advanced analytics and data science. We're shaping new thinking, accelerating discovery and nurturing bright ideas to improve lives.

Professor Maria Fasli
"The Institute for Analytics and Data Science seeks to combine the ingenuity and specificity of experts across all disciplines at Essex in order to pioneer leading research and progress emerging discoveries within data science."
Professor Maria Fasli Executive Dean (Science and Health), Department of Computer Science and Electronic Engineering and UNESCO Chair in Analytics and Data Science

Our experts

Core Institute members

Life Sciences

Business management and entrepreneurship

Computer science and engineering

  • Professor Luca Citi - machine learning, learning from biological signals and data (EEG, etc).
  • Dr Adrian Clark - computer vision and its applications, including robot vision, vision in a 3D world, and astronomy, automatic construction of vision systems using machine learning and evaluation of algorithms, data visualisation and augmented reality.
  • Professor David Crawford - analysis of huge data generated by new multimedia and broadcast formats like high frame rate/extended dynamic range/multiview and ultra-high definition TV.
  • Dr Michael Fairbank - neural networks, adaptive dynamic programming, game artificial intelligence, financial forecasting.
  • Professor Maria Fasli - agent-based modelling, simulation, analysis of structured/unstructured data, machine learning, adaptation, semantic information extraction, ontologies, recommendation technologies.
  • Professor John Gan - machine learning for data modelling and analysis, dimensionality reduction and feature selection in high-dimensional data space.
  • Dr Michael Gardner - learning analytics, socio-technical issues, data visualisation.
  • Professor Dongbing Gu - applying data processing tools to process heterogeneous sensory information for robot navigation and control.
  • Professor Klaus McDonald-Maier - embedded systems and system-on-chip design, cybersecurity and advanced computer architectures, AI and data analytics.
  • Dr Udo Kruschwitz - natural language processing, analysis textual/unstructured data, information retrieval.
  • Dr Maria Kyropoulou - algorithm game theory, design and analysis of algorithms, and approximation algorithms. 
  • Dr Spyros Samothrakis - reinforcement learning, machine learning, neural networks, role playing games.
  • Professor Edward Tsang - applied AI, constraint satisfaction, computational finance and economics, agent-based simulations.
  • Dr Carmine Venture - algorithm game theory, algorithms and optimisation, computational finance and economics, agent-based simulations.
  • Professor Stuart Walker - large scale (4/8k) video data compression and streaming, self-service infrastructure containers for data intensive applications, hypercube-based code generation strategies for secure communications.
  • Professor Kun Yang - wireless networks, future internet architecture, network virtualization, cloud networking and applications.



Health and social care

  • Dr Christopher Green - applied education, workforce development, clinical and health research, systematic review, exploring how qualitative data may provide contribute to big datasets.
  • Professor Ewen Speed - big data and change in the NHS, implications for health and social care in the context of data sharing.

Institute for Social and Economic Research

Language and Linguistics

  • Dr Laurel Lawyer - cognitive neurolinguistics, 'big data' approaches to EEG and fMRI, statistical methods in linguistics, stochastic and computational models of language learning and usage, speech perception, automatic speech recognition, linguistic corpora.


  • Professor Geoff Gilbert - legal consequences of mass forced displacement and how data can help respond to the legal challenges raised by the scale of the movement.
  • Dr Audrey Guinchard - cybercrime, data protection and related human rights issues.
  • Professor Paul Hunt - international human rights (especially economic, social and cultural rights), the right to development.
  • Professor Noam Lubell - regulating the use of emerging technologies by law enforcement and the military, cyber-war.
  • Professor Lorna McGregor - relationship of big data with human rights and access to justice.
  • Prof Maurice Sunkin - how judicial review and other redress mechanisms are used, by whom, in what matters, against which public bodies and with what effects.
  • Professor Lorna Woods - data protection and privacy (as part of communications/internet law).


  • Dr Chris Antonopoulos - complex networks, complex systems, chaos theory, dynamical systems, computational neuroscience.
  • Professor Edward Codling - ecological and environmental data, fisheries monitoring and assessment, animal movement and behaviour, movement tracking, GPS and other movement data sets, human crowd behaviour.
  • Dr Hongsheng Dai - Bayesian statistics, computing intensive methods, survival and longitudinal analysis, graphical models and mixture models.
  • Dr Mario Gutierrez-Roig - behavioural economics, spatial analysis, urban analytics, combining data science and complex systems, computational archaeology and social science.
  • Dr Andrew Harrison - bioinformatics, scientific big data, cloud computing, sources of bias and errors in data, data sharing within the developing world.
  • Professor Berthold Lausen - data science, biostatistics, clinical research, computational statistics, data analysis, epidemiology, public health, systems biology.
  • Dr Fanlin Meng – machine learning, game theory, optimisation, smart energy management, smart grids, intelligent transportation systems. 
  • Professor Abdel Salhi - optimisation, numerical analysis, data mining.
  • Dr Spyridon Vrontos - actuarial and financial modelling, asset-liability management, evaluation of funds performance, predictability, risk management.


  • Professor Kristian Skrede Gleditsch - conflict and cooperation, political geography, data development, GIS and spatial data, applied statistics, prediction.
  • Professor Philip Leifeld - social, political, and economic networks, computational social sciences, complex systems, comparative public policy and governance, agent-based modelling, regression models for network datasets.
  • Dr Patrick Lown - large survey data, hierarchical regression analysis, measurement, lab and survey experimentation, survey design.
  • Dr Alejandro Quiroz Flores - big data and natural disasters, survival analysis.
  • Professor Paul Whiteley - electoral behaviour and public opinion research, electoral forecasting using opinion poll data.


  • Professor Nick Allum - survey methodology, analysis large-scale data, public understanding of science, social psychology of risk, social and political trust.
  • Dr Valentin Danchev - computational social science, network analysis, social data science, open and reproducible research, open data, human mobility.
  • Professor Pete Fussey - uses, impacts and regulation of surveillance technology, the use of technology for social control, modes of urban digital governance (including smart city initiatives).
  • Dr James Allen-Robertson - data scraping, text mining, algorithmic power, practical big data ethics, digital culture.

UK Data Archive

  • Professor Matthew Woollard - research integrity (replication/validation) of big data, curation and access to large-scale datasets for supporting research, ethical issues relating to the use and access to these data.
  • Dr Louise Corti - quality assessment of big data, provision of access to large-scale datasets for research including licensing and privacy issues.