Mathematical Modelling, Machine Learning, Data Visualisation, Kidney Development, Cell Biology, Bio-Imaging, Cancer Imaging.
How did you get into research?
I was inspired to go to university having read about physicists in the early 20th Century mapping out quantum mechanics in the coffee shops of Copenhagen. The idea of discovering the structure of the universe with back and forth discussion and equations over coffee, sounded very exciting. I have been a dedicated coffee drinker ever since.
What is the ultimate goal for your research?
To use mathematical modelling to discover the nature of fundamental biological processes such as cell protein trafficking and development, which can then ultimately be translated into real world applications in the biomedical field.
What is your future focus?
The second wave of data from the genome revolution is now arriving in the emerging field of high-throughput microscopy imaging of biological molecules in their cellular and organ contexts, live in real time and in high resolution 3D. With terabytes of imaging being generated in a matter of minutes, current analysis methodologies are being overwhelmed. The focus of my group’s research will be to develop new methodologies in machine learning and artificial intelligence to extract meaning from this wealth of imaging data and hence generate biologically useful predictive mathematical models of the systems being observed.
