Developing novel statistical machine learning techniques to improve health and wellbeing through collaboration with the biological and medical sciences
Our research seeks to develop novel statistical and machine learning methodologies by working in partnership with the biological and medical sciences. Inspired by real applications, we are creating artificial intelligence technologies that can make a real impact on improving human health.
Read the latest news about the group and its members.
Read about what projects we are involved in.
Research to improve care for pregnant women with two or more health conditions
AI for Multiple Long-Term Conditions
Machine Learning Models for the Development of Antibodies
AI for Cancer
Bringing Innovative Research Methods to Clustering Analysis of Multimorbidity (BIRM-CAM) project between the Universities of …
The Data Science of Digital Behaviour Intervention
A novel convolutional filter-based approach for learning mutation signature representations.
To develop future leaders in health data science.
A novel Bayesian nonparametric regression approach for high-dimensionality multi-modal data integration.
Developing interpretable deep neural network approaches for dimensionality reduction that embed functional ANOVA decompositions within …
Identification of cancer-promoting genetic alterations using genome sequencing and machine learning.
Unravelling the history of genomic instability through deep reinforcement learning.
Developing automated learning frameworks for reproducible and transferable biological data analysis.
Computational genomics to tackle the silent killer
Look up and search for publications from members of the group.
We are a decentralised group of researchers operating across institutional or disciplinary barriers. We do science to truly benefit the greater good.
We are looking for researchers who buy into this philosophy to become involved with our research activities. You can join as directly as a PhD student or postdoctoral researcher or, alternatively, you can collaborate on a less formal basis as an Affiliate or Visitor.
Postdoctoral opportunities are available at the University of Oxford. Please contact the Principal Investigator to enquire about availability.
Graduate studies within the group can be supported through direct or indirect entry via the following study programmes at the University of Oxford, please see the websites for more details:
Potential applicants are encouraged to contact the Principal Investigator before making applications.
If your study programme involves external laboratory placements then we would be very interested to see how we can host and support a visit to our group. We have welcomed numerous visitors from across the world over the years. Contact the Principal Investigator for further information.
The Alan Turing Institute provides an Enrichment programme that allows students to take up to a year of their PhD to be based in London at the Turing Institute. If you would like to apply for the Enrichment scheme and to work with the group during the placement then contact the Principal Investigator.