Emma Clare Walker
Third-year CDT DPhil researcher in Health Data Science at the University of Oxford, based at the Big Data Institute.
- Medical AI & Digital Pathology
- Women’s & Maternal Health
- Computer Vision
- Graph Learning & Self-Supervised Learning
Education & Training
DPhil Researcher – Health Data Science
University of Oxford | Big Data Institute
2023 – Present
Conducting doctoral research on developing AI methods for placental pathology analysis. Building biologically-inspired pipelines with self-supervised and graph representation, with the aim of automating placental pathology analysis and identifying associations with clinical diagnostics, and maternal health outcomes. Work sits at the intersection of computer vision, digital pathology, and women’s health.
Supervisors: Dr Christoffer Nellåker (Oxford), Dr Craig Glastonbury (Human Technopole)
Integrated Masters with International Study – Natural Sciences
2019 – 2023
First class degree in interdisciplinary integrated Master’s degree spanning quantitative and biological sciences. Completed semester abroad at ETH Zürich, gaining exposure to international research environments. Master’s project developed novel neural network regularisation techniques inspired by astrocyte function.
Researcher – Big Data Summer Institute
Summer 2022
Selected for intensive NIH-funded research programme in biostatistics and computational health. Developed novel pseudo-time-series methods for analysing spatial transcriptomics data, with emphasis on scalable analysis and biological interpretability.
Get in touch
Please feel free to reach out regarding research collaborations, PhD-related discussions, or related academic enquiries. You can contact me directly via email at emma@emmawalker.net.