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Associated researcher

Christopher Yau

Co-Director of the HDRUK-Turing Wellcome PhD Programme in Health Data Science at The University of Manchester

Chris is Co-Director of the HDRUK-Turing Wellcome PhD Programme in Health Data Science. He is also a Work Package lead on Multi-omics Data Integration for the National Multi-omics Consortium.

He received his undergraduate degree in Engineering at the University of Cambridge in 2004 and a D.Phil in Statistics from the University of Oxford in 2009. He was previously a Lecturer in Statistics at Imperial College London, Associate Professor in Genomic Medicine at the University of Oxford, and Professor of Artificial Intelligence at the University of Birmingham.

His research is focused on issues related to the interpretation of high-dimensional data arising from modern molecular technologies and health systems and how such data can be used to give insights into the molecular basis of human disease particularly cancer. His efforts in this area span a spectrum of areas from core statistical and machine learning methodological research to wet lab-based experimental investigations to translational clinical research. He currently co-leads the Machine Learning Clinical Interpretation Partnership as part of the Genomics England 100,000 Genomes Project.

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Strategic priorities
Applied Analytics, Understanding the Causes of Disease
Sites / Hubs
North
External organisations
The University of Manchester
Selected work
Page

HDR UK-Turing Wellcome PhD Programme in Health Data Science

Our PhD programme aims to develop future leaders in health data science. Its underlying philosophy is that health data science requires a combination of expertise spanning three fundamental areas:...

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