Adam Shephard
Contact Details
Room: CS3.04
Department of Computer Science
University of Warwick, Coventry, CV4 7AL
Email: adam.shephard@warwick.ac.uk
Biography
Adam Shephard is an Assistant Professor in the Department of Computer Science and a member of the Tissue Image Analytics (TIA) CentreLink opens in a new window. His research focuses on developing AI methods for early cancer detection, risk stratification, and biomarker discovery, with a particular emphasis on precancerous disease and head and neck cancer.
Within the TIA Centre, Adam has worked on the Cancer Research UK-funded ANTICIPATE project in collaboration with researchers at the University of Sheffield, applying deep learning to histopathology to improve the grading of oral epithelial dysplasia (OED), predict its progression to malignancy, and find novel biomarkers. He is also involved in related projects on laryngeal dysplasia and ductal carcinoma in situ (DCIS), in collaboration with clinicians at University Hospitals Coventry and Warwickshire (UHCW) and Queen Mary University London (QMUL), respectively. In addition, he contributed to the British Council-funded INSPIRE project, focused on biomarker discovery in nasopharyngeal cancer.
Adam works across medical imaging domains such as histology and radiology, and is increasingly exploring multi-modal learning to support clinically actionable and interpretable predictions. He also contributes to the development and maintenance of the TIA Toolbox, a widely used open-source Python library for computational pathology.
He joined the TIA Centre in 2020 after completing his PhD at Aston University, where his thesis, The Application of Deep Learning to Paediatric Brain MRI: Lesion Segmentation and Outcome Prediction, was jointly funded by the European Research Council and the Aston University 50th Anniversary Prize Studentship.
Research Interests
Computational Pathology, Artificial Intelligence, Deep Learning, Machine Learning, Medical Imaging, Early Cancer Detection, Head and Neck Cancer, Multi-Modal Learning, Oral Epithelial Dysplasia.
TIA Centre Seminars
I organise and chair the TIA Centre Seminar Series, where we invite researchers and leaders in computational pathology and related fields to discuss their work and stimulate thought-provoking discussions. Most seminars are recorded and available on our YouTube channel.
If you are interested in attending or giving a seminar, feel free to email me (adam.shephard@warwick.ac.uk). Alternatively, please fill-out the following form if you are interested in registering for the seminar series mailing list TIA Seminar Series Registration.
Teaching
CS908: Research MethodsLink opens in a new window
CS413/CS933: Image and Video Analysis
Publications
Please click hereLink opens in a new window to see Adam's publications on Google Scholar.
Supervision
I welcome enquiries from prospective MSc and PhD students interested in topics at the intersection of artificial intelligence and medical imaging. Areas of particular interest include:
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Computational pathology
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Multi-modal learning (e.g. combining histology, radiology, and clinical data)
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Deep learning for early cancer detection and biomarker discovery
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Head and neck cancer, including oral and laryngeal precancers
I am happy to co-supervise interdisciplinary projects in collaboration with clinical or biological researchers. Students with a strong background in machine learning, computer vision, or biomedical data analysis are especially encouraged to get in touch.
