Lecturer in Probability & Statistics

James Boyle

  • I am a DPhil student in the Wolfson Centre for Mathematical Biology, where I combine machine learning and mathematical modelling to analyse biological systems.
  • Teaching at Oxford, I enjoy the opportunity to help students make connections between different areas of mathematics, and with applications to the real world.
  • Currently I’m investigating the different strategies deployed by immune cells to target and destroy cancer cells.
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Profile

I am currently studying for a DPhil at the Mathematical Institute, where my research focusses on the integration of machine learning and mathematical modelling for the analysis of biological systems. Machine learning is capable of picking up on the often very complex patterns in biological data, whilst mathematical modelling helps us understand what mechanisms might give rise to such patterns. By combining these two analysis paradigms, we can gain a richer insight into biological systems. 

Teaching

At Trinity, I deliver tutorials for the first and second year modules in probability and statistics. I also teach intercollegiate classes for the third year modules in mathematical biology at the Mathematical Institute.

Selected Publications

C. Koki, R. Shields, R. Sweetman, J. Boyle et al, ‘Fertility, time to pregnancy, and pregnancy outcomes among women with recurrent miscarriages in the UK: a prospective observational longitudinal study’, Lancet Regional Health – Europe (2025)

Subjects
James Boyle
james.boyle@maths.ox.ac.uk