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Dr Allan Tucker
Reader

Research area(s)

  • Data Mining / Data Science
  • Machine Learning 
  • Artificial Intelligence
  • Bayesian Networks
  • Big Data
  • Biomedical Informatics
  • Eco Informatics

Research grants and projects

Research Projects

Grants

Using High-fidelity Synthetic Data as synthetic control arms and to boost sample sizes in clinical trials
Funder: BEIS Innovate Regulatory Pioneer Fund
Duration: September 2023 - March 2025
Developing approaches to make AI algorithms more interpretable using AI as a medical device as an exemplar
Funder: Medicine and Health Regulatory Agency
Duration: April 2023 - September 2023
Exploring Space, Time and Privacy of Synthetic Primary Care Data
Funder: Medicine and Health Regulatory Agency
Duration: September 2022 - April 2023
Exploring Spatial and Temporal Effects in Synthetic Data Generation.
Funder: Medicine and Health Regulatory Authority
Duration: October 2021 - September 2022
Developing metrics that could signal significant changes in adaptive learning AI algorithms
Funder: Department for Business Energy & Industrial Strategy
Duration: September 2021 - March 2022
Regulators’ Pioneer Fund
Funder: Innovate UK
Duration: October 2018 - March 2020

Developing and applying datasets for the validation of algorithms, including machine learning / artificially intelligent algorithms in medical devices.

A multi-dimensional environment-health risk analysis system for Kazakhstan
Funder: British Council
Duration: 2015 - 2017

Institutional Links Grant

Data Integrity and Intelligent Data Analysis Techniques Applied to a Glaucoma Progression Dataset
Funder: Engineering and Physical Sciences Research Council
Duration: 2013 - 2015

Project details

• Royal Society ”Incorporating temporal knowledge into models of microarray time-series” (2006)

• EPRSC “Data Integrity and Intelligent Data Analysis Techniques Applied to a Glaucoma Progression Dataset” (2010)

• NERC “A Data-Oriented Predictive Ecology Approach to Modelling Fish Communities during Regime Shifts” (2012)

• National Grid: “Statistical modelling of deterioration of overhead line conductors using Bayesian network and active learning methods” (2014)

• British Council Institutional Links Grant "A multi-dimensional environment-health risk analysis system for Kazakhstan" (2015)

• Regulators Pioneer Fund "Developing and applying datasets for the validation of algorithms, including machine learning / artificially intelligent algorithms in medical devices" (2018)

• Royal Society "Developing Deep Learning Techniques for individually identifying Tigers and other species in India from camera trap images." (2020)

• Regulators Pioneer Fund "Developing metrics that could signal significant changes in adaptive learning AI algorithms" (2021)

Research links

Co-author network

Similar research interests

Research group(s)