Research experience relevant to this project:
Professor Graham Ball has 26 years' experience in the application of artificial intelligence and machine learning to biological problems. He has developed numerous approaches combining ML and statistical approaches for classification and systems biology. He has supervised 9 students (as 1st supervisor, 23 as second supervisor) from a biological background to PhD award in a machine learning discipline and well as over 80 Biosciences master's students. He has regularly run international bioinformatics/ Machine learning and Computational biology courses (France, India, China) annually for the last 15 years. He has lead numerous projects in the biomarker discovery and systems biology space over the last 20 years.
Current research interests have focused on the development and application of bioinformatic algorithms using Artificial Neural Networks (ANNs) to medical diagnostics and statistics including:
- Cancer systems biology and bioinformatics
- Biomarker Discovery and Drug target discovery through application of machine learning to biological “Big Data”
- Plant based systems for identification of molecular drivers of phenotype.
- Species distributions and ecological factors governing species abundance and decline.
- Machine learning based image assessment and classification of Immunohistochemical cores, MRI images and freshwater invertebrate taxa.
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