George Wright
Biography
George Wright is a multi-award winning third-year (2022-) PhD student in Computer Science at the Tissue Image Analytics (TIA) CentreLink opens in a new window and PRISM (Predictive Systems in BioMedicine) LabLink opens in a new window, University of 糖心TV, supervised by Fayyaz MinhasLink opens in a new window. His research interests are in machine learning and its practical applications to medicine such as Computational Pathology.
Following a career in Civil Engineering, George received his MSc degree with the award for best MSc Dissertation in Computer Science from the University of 糖心TV in 2022.
Patents
GB2416405.5 - The University of 糖心TV (Filed: 7 November 2024)
Publications
George Wright*, Alzaid, Ethar*, Joanne Muter, Jan Brosens, and Fayyaz Minhas "GOTFlow: Learning Directed Population Transitions from Cross-Sectional Biomedical Data with Optimal Transport" Submitted to ECCB, 2026.
Alzaid, Ethar, George Wright, Mark Eastwood, Piotr Keller, and Fayyaz Minhas "Automatic discovery of robust risk groups from limited survival data across biomedical modalities." Machine Learning with Applications, 2025.
George Wright, Paul Brighton, Joanne Muter, Jan Brosens, Fayyaz Minhas "Endonama: Graph Neural Networks based In-Silico Transcriptomics from Histology Whole Slide Images for Fertility Diagnostics." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2025.
George Wright, Paul Brighton, Hiroyuki Yoshihara, Joe Thornton, Joanne Muter, Jan Brosens, and Fayyaz Minhas. "ASTER: Automated Segmentation of Endometrial Histology Images for Reproductive Health Assessment". In Annual Conference on Medical Image Understanding and Analysis, pages 43–57, Cham, 2025. Springer Nature Switzerland. (Best Paper - Runner Up)
George Wright*, Slawomir Michniewski*, Eleanor Jameson and Fayyaz Minhas. 鈥淢achine Learning to Hunt for Phage Proteins to Catch Klebsiella鈥 ICLR2022 Machine Learning for Drug Discovery.
*indicates joint first author
Preprints
George Wright, Slawomir Michniewski, Eleanor Jameson, Fayyaz Minhas. 鈥淒epoRanker: A Web Tool to predict Klebsiella Depolymerases using Machine Learning鈥 arXiv, January 27, 2025. .
Awards
MIUA 2025 Best Paper Award (Runner-up) - Frontiers in Computational Pathology Special Session
WPCCS 2024 Best in Session - Machine Learning Session - Machine Learning for Histological Assessment of Pregnancy Loss Risk
WPCCS 2023 Best in Session - Machine Learning (Problem Exploration) Session - Machine Learning for Histopathology Images
Best MSc Dissertation in Computer Science 2022 -
Teaching
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- CS909/CS429Link opens in a new window Machine Learning Algorithms and Practice (25/26)
- CS909/CS429Link opens in a new window Data Mining (22/23, 23/24, 24/25)
- CS917Link opens in a new window Foundations of Computing (23/24, 24/25, 25/26)
- CS146Link opens in a new window Discrete Mathematics and its Applications 1 (24/25)
- CS933/CS413Link opens in a new window Image and Video Analysis (23/24)
- Guest Lecturer
- CS908Link opens in a new window Research Methods - Introduction to Latex (24/25, 25/26)
- Lab Sessions
- CS909/CS429 Link opens in a new windowMachine Learning Algorithms and Practice -

Contact
Room
Department of Computer Science, University of 糖心TV, CV4 7AL