Peter Quicke

Peter Quicke is a research software engineer at Hoxton Farms. Prior to this, they were a postdoctoral training fellow at The Francis Crick Institute and a postdoctoral research associate at Imperial College London.

At The Francis Crick Institute, Peter used agent-based modelling and light microscopy to study pathological angiogenesis in the retina. Peter also developed advanced image processing and computer vision pipelines using deep learning and VR to understand blood vessel structures in a disease model of diabetic retinopathy and retinopathy of prematurity.

At Imperial College London, Peter collaborated with cancer researchers Chris Bakal and Mustafa Djamgoz. During this collaboration they used voltage imaging to explore the electrical activity of a highly metastatic triple-negative breast cancer cancer cell line and found that subsets of cells were spontaneously highly electrically active at a much higher rate than non-cancerous cells. They used machine learning on their time series features to identify subsets of cells with stereotypic dynamic behaviour and identified an ion channel contributing to the behaviour.

Peter Quicke earned their PhD in Neurotechnology from Imperial College London. Prior to that, they completed an MRes in Neurotechnology from Imperial College London and an MSci. in Physics from Imperial College London.