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Professor Paul Schofield is a leading figure in the fields of physiology, development, and neuroscience at the University of Cambridge. His research interests revolve around the integration and exploitation of big data to enhance human health. Schofield is particularly focused on the representation and exploitation of genotypic and phenotypic knowledge to understand disease pathophysiology. He emphasizes the importance of utilizing public databases and patient electronic health records to discover new insights into disease etiology and management. His work combines knowledge from model organisms and human data, addressing the complex challenges that arise in this integration. He has made significant contributions to the development of artificial intelligence tools for knowledge representation and formal ontology applications, particularly in the context of electronic health records. Through large knowledge graphs, his research supports clinical decision-making and advances therapeutic approaches. He collaborates extensively on data sharing initiatives that promote international data sharing in biology and radiation sciences, drawing from his experience in developing frameworks for public database management. Professor Schofield holds an adjunct Professorship at the Jackson Laboratory in Bar Harbor, Maine, and is a Fellow of the Alan Turing Institute, contributing to several high-profile projects in computational biology.
University of Cambridge • Cambridge, ENG
Leading research and teaching in biomedical informatics.
Jackson Laboratory • Bar Harbor, ME, USA
Collaborating on research in computational biology.
Standard postgraduate requirements for Department of Politics and International Studies (POLIS) and related humanities departments.