معرفی
Aaron Jackson is a Researcher specializing in healthcare data infrastructure, machine learning, and graph neural networks. He is affiliated with the Health and Clinical Services department, contributing to interdisciplinary projects like the CO-CONNECT architecture to enhance pandemic response through data integration. His work aligns with UN Sustainable Development Goals related to healthcare and innovation.
Research Interests: Jackson's primary focus is on applying machine learning techniques to healthcare challenges, including graph neural networks for data representation, 3D reconstruction for medical imaging, and federated learning systems for secure data access. His recent work addresses pandemic response through hybrid architectures and large-scale data collaboration.
- Key Projects: CO-CONNECT (UK-wide healthcare data integration), MERG (graph neural network advancements)
Awards: Jackson was part of the team honored with the Dundee Difference Award for the CO-CONNECT initiative's positive societal impact. His research has been recognized through citations in top conferences and journals.
Collaborations: Jackson works with multidisciplinary teams across UK institutions, focusing on healthcare innovation and AI-driven solutions for public health challenges.
