Data Science & Learning Algorithms

The Group of Data Science and Learning Algorithms has strong research interests in the areas of  Machine Learning, Artificial Intelligence, Big Data, Predictive Analytics, Statistical Modelling, Image analysis, Computer Vision and Bioinformatics, as well as unique expertise in Algorithm Development, Software Development, Optimisation Methods,  Physics-Informed Neutral Networks, Small data learning, Cross-Disciplinary Research, Industrial applications, and Analysis of NHS data. The group has more than 20 PhD students and many external collaborators (including the academic, private and government sectors).

Group members:

• Ke Chen (Group Lead)
• Lyndsay Kerr
• Jack Laverick
• Jiazhu Pan
• Alexander Wray
• Yue Wu

Health Statistics

The health statistics group have a focus on modelling and analysis of real-world clinical data to assess the effectiveness of medicines, health interventions and vaccinations.  Working across medical, epidemiological, social care and public health spheres, the team have broad experience in predictive modelling techniques and the analysis of large population-based datasets.  Members of the group have honorary contracts with NHS bodies across Scotland, leading to work which has a direct impact on health policy in Scotland and beyond.

Group members:

• Bingzang Chen
• Alison Gray
• Ying He
• Kimberley Kavanagh (Group Lead)
• Louise Kelly
• Adam Kleczkowski
• Chris Robertson
• Ryan Stewart
• Suzy Whoriskey
• Ying He
• David Young