Ruby Wood
CDT Student
I have an MMath from the University of St Andrews. My Masters dissertation was on comparing classical clustering approaches with Bayesian partitioning techniques. During my undergraduate studies I undertook a couple of data science internships, one of which involved clustering cancer patient data. After graduating I trained and then worked as a software engineer for two years, at a multinational investment bank, using mostly Java. I also did some machine learning within this role. I am funded by Cancer Research UK. Away from studying I enjoy squash, running and yoga.
Recent publications
Self-interactive learning: Fusion and evolution of multi-scale histomorphology features for molecular traits prediction in computational pathology.
Journal article
Hu Y. et al, (2025), Medical image analysis, 101
Quantitative analysis of bone marrow fibrosis highlights heterogeneity in myelofibrosis and augments histological assessment: An Insight from a phase II clinical study of zinpentraxin alfa.
Journal article
Ryou H. et al, (2024), HemaSphere, 8
Image-based consensus molecular subtyping in rectal cancer biopsies and response to neoadjuvant chemoradiotherapy.
Journal article
Lafarge MW. et al, (2024), NPJ precision oncology, 8
Cluster Triplet Loss for Unsupervised Domain Adaptation on Histology Images
Conference paper
Wood R. et al, (2024), IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 5122 - 5131
Quantitative Analysis of Bone Marrow Features Highlights Heterogeneity in Myelofibrosis Patients Treated with Zinpentraxin Alfa in a Phase II Clinical Study
Journal article
Ryou H. et al, (2023), BLOOD, 142