The MInDS research group takes an interdisciplinary approach to machine learning and decision systems. The group’s research focuses on methods from computer science, machine learning, statistics, probability theory, and psychology, to solve problems and challenges presented by scale, complexity and variability.

Many of the group members work with practitioners to produce predictive and decision models, that often combine machine learning and data with human knowledge, with application to a wide range of domains including medical, legal, engineering, bioinformatics, security, sports, economics, risk and safety.

Over the years the group has attracted millions of research funding from organisations such as the EPSRC, ERC, UKRI, Royal Society, Yahoo, Library and Information Commission and the British Council.

Research Activities

  • Artificial Intelligence and Explainable AI
  • Bayesian Inference
  • Causal Discovery
  • Databases
  • Decision Support Systems
  • Document Clustering and Summarisation
  • Information Retrieval
  • Knowledge-Based Systems
  • Machine Learning (Predictive and Causal)
  • Optimal Decision Making
  • Risk Assessment
  • Statistics and Probability
  • Uncertainty Quantification

Research Excellence Framework (REF)

The REF is the UK’s official system for assessing the quality of research in UK higher education institutions. It first took place in 2014, and then in 2021. Queen Mary University of London is ranked 8th in Computer Science and Informatics and 7th in Engineering in the UK. In particular, our notable achievements include being joint 1st in Impact for Computer Science and Informatics and being ranked 2nd in Output for Engineering. The group’s collaboration with Agena Ltd led to an impact case study that was part of the REF 2021 success.



The group was established in 2010 from the merger of the RADAR (Risk Assessment and Decision Analysis Research) and IR (Information Retrieval) groups. It was initially called Risk and Information Management (RIM), and was retitled to Machine Intelligence and Decision Systems (MInDS) in 2022.