Emma Clare Walker
Third-year CDT DPhil researcher in Health Data Science at the University of Oxford, based at the Big Data Institute.
- Computer Vision & Representation Learning
- Medical AI & Digital Pathology
- Women’s & Maternal Health
- Graph Learning & Self-Supervised Learning
Experience
Summary of academic experience to date.
DPhil Researcher – Health Data Science
University of Oxford | Big Data Institute
2023 – Present
Conducting doctoral research on self-supervised and graph representation learning for placental digital histology, with the aim of identifying associations with maternal health outcomes. Work sits at the intersection of computer vision, medical AI, and women’s health, under the supervision of Christoffer Nellaker.
Integrated Masters with International Study – Natural Sciences
2018 – 2022
Completed an integrated MSci in Natural Sciences with interdisciplinary training across quantitative and biological sciences. Undertook a semester abroad at ETH Zürich, gaining exposure to international research environments and advanced analytical methods.
Researcher – Big Data Summer Institute
Summer 2022
Selected participant in an intensive research programme focused on applying big data methodologies to human health. Developed low-dimensional metrics from spatially resolved transcriptomics data, with an emphasis on scalable analysis and biological interpretability.
Professional Accomplishments
Key academic milestones and research experiences that reflect training in data science, medical AI, and interdisciplinary health research.
Centre for Doctoral Training Fellowship
Selected as a doctoral student in the Centre for Doctoral Training (CDT) in Health Data Science, reflecting competitive admission and advanced interdisciplinary training at doctoral level in statistics, machine learning, and health applications.
Big Data Summer Institute Participant
Selected participant at the Big Data Summer Institute, University of Michigan. Developed low-dimensional metrics from spatially resolved transcriptomics data, applying big data methodologies to problems in human health.
International Research Experience
Completed a semester abroad at ETH Zürich during MSci studies, gaining exposure to international research environments and advanced quantitative approaches in the natural sciences.
Doctoral Research in Medical AI
Conducting doctoral research on self-supervised and graph representation learning for placental digital histology, aiming to identify associations with maternal health outcomes and advance methods in medical AI.
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.