神马福利影片

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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, 神马福利影片, 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 神马福利影片 in 2022.

Patents

George Wright, Jan Brosens, & Fayyaz Minhas. "Method for determining properties of the endometrium based on image data." PCT Patent Application PCT/EP2025/082255 (claiming priority to U.K. Pat. App. No. 2416405.5 Filed 7 November 2024.) International Patent Pending.

Publications

Mireia Taus-Nebot, Paul Brighton, Joe Thornton, Katherine Fishwick, George Wright, Sean James, Chow-Seng Kong, Fayyaz Minhas, Joanne Muter, Jan Brosens "Cumulative Impact of Miscarriages on Uterine Natural Killer Cell Dynamics in Cycling Endometrium-Analysis of 4,442 Midluteal Biopsies." Reproductive Sciences, 2026

Ethar Alzaid, 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*, Thomas M. Rawlings*, Mark Eastwood, Paul Brighton, Mireia Taus Nebot, Anja Estermann, William T.M. Flett, Awais Younis, Komal Makwana, Hiroyuki Yoshihara, John D. Aplin, Chow-Seng Kong, Mark Christian, Emma S. Lucas, Joanne Muter, Jan J. Brosens, and Fayyaz Minhas "Whole slide image analysis of the endometrial decidual reaction reveals multiscale perturbations associated with miscarriage" bioRxiv (2026)

George Wright*, Piotr Keller*, Joanne Muter, Jan Brosens, Sabine Tejpar, and Fayyaz Minhas "DCAFA: Differential Community Abundance and Feature Analysis for Histological Images" bioRxiv (2026)

George Wright*, Ethar Alzaid *, Joanne Muter, Jan Brosens, and Fayyaz Minhas "GOTFlow: Learning Directed Population Transitions from Cross-Sectional Biomedical Data with Optimal Transport" bioRxiv (2026)

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

Profile Picture

Contact

George.Wright.1@warwick.ac.uk

Room

Department of Computer Science, 神马福利影片, CV4 7AL

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