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Simon Graham

Current PhD student within the Mathematics for Real World Systems CDT. Currently, I am working within the Tissue Image Analytics (TIA) Lab, where I am developing deep learning algorithms to gain insight from histopathology images.

Previous Education

  • BSc- Mathematics with Sports Science at Loughborough University - 2011- 2014.
  • MSc- Mathematics for Real-World Systems at University of Warwick - 2015-2016

MSc Projects

  • Alongside Luke Whincop and Maxim Smilovitskiy, I completed a project working with The International Agency for The Research on Cancer (IARC), supervised by Prof. David Rand and Dr. Hugo van den Berg. This project specifically focused on implementing a cellular automaton model, that explored optimal levels of varying parameters in immunotherapy treatment. Furthermore, we visited the IARC headquarters in Lyon, to see how the organisation can benefit from a collaboration with The University of Warwick.
  • I completed an individual project, supervised by Prof. Nasir Rajpoot Dr. Rich Savage, where I developed a deep learning framework for automated tumour segmentation within breast hematoxylin and eosin (H&E) stained whole-slide images.

PhD Publications

  • Classification of Lung Cancer Histology Images using Patch-Level Summary Statistics (SPIE Medical Imaging Conference 2018)
  • SAMS-Net: Stain-Aware Multi-Scale Network for Instance-Based Nuclei Segmentation in Histology Images (International Symposium on Biomedical Imaging 2018)
  • MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images (Medical Imaging with Deep Learning 2018)

Research Interests

  • Machine learning
  • Deep learning
  • Medical Imaging

Contact

  • Email: S.Graham.1@warwick.ac.uk
  • LinkedIn: https://uk.linkedin.com/in/simongraham2