Overview

Overview:

Matt completed his PhD in Complexity Sciences from UoBristol in 2017 and has since been part of the Translational Research Exchange @Exeter (TREE), first as a PDRF and then as an Industrial RF from 2019. His research focuses on industrial and clinical collaboration, and spans the interface between mathematical modelling, machine learning classification (MLC) and cell/molecular biology in cancer, diabetes and Inflammatory Bowel Disease (IBD).

Current & recent projects:

• Developing MLC algorithms to improve the efficiency of RNAi drug screening methods for cancer and a range of other diseases.
• Developing advanced data analysis and cleaning frameworks for the clinical diagnosis and management of rare diseases.
• Applying MLC algorithms to identify clinically actionable factors that cause loss of drug response in IBD patients.
• Investigating the interactions between fatty acids and autophagy in diabetes using molecular methods and novel computer vision techniques.
• Implementing species distribution models and MLC algorithms for the advancement of industrial pest control methods.
• Broadening invasive species distribution models without the loss of significant predictive power.

Research themes:

machine learning classification

complex networks

cell & molecular biology

image analysis & computer vision

spatio-temporal modelling

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Publications

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