Machine learning is revolutionising healthcare due to its innate ability to isolate patterns in big data, however it is limited in specifying why these patterns exist. I am interested in using biophysical models to predict how fluid and mass is transported through cancerous tissue, and provide more informed training data to machine learning algorithms. An artificial intelligence such as this could provide reasoning behind identified patterns in tumour medical imaging data.
- BSc Mathematics, University of Southampton (2009-2012)
- MSc Applied Mathematics, Imperial College London (2012-2013)
- MRes Mathematical Modelling, University College London (2013-2014)
- PhD Applied Mathematics, University College London (2014-2017)
Best conference attended so far
International Society on Oxygen Transport to Tissue Annual Conference, July 2014