Personal profile


Martin Fergie is a machine learning and computer vision researcher at the University of Manchester in the Division of Informatics, Imaging and Data Sciences. His research interests are focussed on using machine learning models to predict disease outcomes from medical imaging data. Key projects include: predicting breast cancer risk from screening mammograms; predicting clinical outcomes for cancer using multiplex immunofluorescence tissue imaging. 

Martin is currently taking part in the InnovateUK ICURe programme to identify opportunities to help relieve the workload burden on pathologists by applying artificial intelligence in clinical digital pathology. 


Martin undertook his PhD at the University of Manchester 2008 - 2012 developing machine learning models for 3D human pose estimation from monocular video. 

After completing his PhD, he became the Chief Technology Officer of DigitalBridge (, a start-up applying deep learning technology for performing image understanding for indoor scenes. Martin developed the foundations of the company's technology and played a central role in building the software development and R&D teams. 

Seeking a new challenge, in March 2017 he moved to the University of Manchester to apply his experience in machine learning and computer vision to help develop novel cancer imaging biomarkers. Research areas include predicting breast cancer risk from mammographic screening data and developing models for predicting clinical outcomes from histology data for follicular lymphoma and head and neck cancer. In September 2018 he was appointed as a Lecturer as part of the Integrated, Interdisciplinary, Innovations in Healthcare Sciences Hub. 



Martin is a Lecturer on the Digital Pathology Module as part of the Molecular Pathology MSc. For more information, see:


Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

External positions

Non-executive Director, VREvo Ltd

1 Nov 2021 → …

Chief Executive Officer, Spotlight Pathology Ltd

1 Oct 2021 → …

Areas of expertise

  • QA75 Electronic computers. Computer science
  • QA76 Computer software

Research Beacons, Institutes and Platforms

  • Digital Futures
  • Lydia Becker Institute
  • Christabel Pankhurst Institute


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Collaborations and top research areas from the last five years

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