Personal profile


Geoff Webb is a leading data scientist and AI researcher and the only Australian to have been Program Committee Chair of the two leading Data Mining conferences, ACM SIGKDD and IEEE ICDM. He was elevated to IEEE Fellow in 2015 and his numerous awards include the inaugural Eureka Prize for Excellence in Data Science (2017).

He was editor in chief of Data Mining and Knowledge Discovery from 2005 to 2014. He is a Technical Advisor to BigML Inc, who have incorporated his best of class association discovery software, Magnum Opus, as a core component of their cloud-based Machine Learning service. He developed many of the key mechanisms of support-confidence association discovery in the 1980s. His OPUS search algorithm remains the state-of-the-art in rule search. He pioneered multiple research areas as diverse as black-box user modelling, interactive data analytics and statistically-sound pattern discovery. He has developed many useful machine learning algorithms that are widely deployed.

Research interests

Professor Webb conducts research in both fundamnetal and translational artificial intelligence, machine learning and data science.

His fundamental research encompasses:

  • Scalable learning of time series classifiers.  more
  • Learning From Non-Stationary Distributions.  more
  • Association Discovery. more
  • Scalable learning of Graphical Models.  more
  • Earth Observation Analytics. more
  • Combining Generative and Discriminative Learning.  more
  • Bayesian Machine Learning.  more
  • Ensemble Machine Learning.  more
  • Interactive Machine Learning.  more
  • Decision tree grafting.  more
  • Rule learning.  more
  • Discretization.  more
  • Feature construction, constructive induction and attribute discovery.  more
  • Student and User Modeling.  more

His fundamental research encompasses:

  • Computational Biology.  more
  • Health.  more
  • Engineering.  more

Supervision interests

Opportunities exists for outstanding Computer Science research candidates to undertake a PhD in the areas of Machine Learning and Data Mining under my supervision. For an indication of potential areas of research see my Research Programs. For application procedures see here.


Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 13 - Climate Action
  • SDG 15 - Life on Land

Education/Academic qualification

Computer Science, Doctor of Philosophy, La Trobe University

Award Date: 1 Nov 1987

Computer Science, Bachelor of Arts (Honours), La Trobe University

Award Date: 1 May 1982

Research area keywords

  • Bioinformatics
  • Computational Biology
  • Data Analytics
  • Data Science
  • Data mining
  • Knowledge Acquisition
  • Machine Learning

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or