Prof Christopher Yau

Professor of Artificial Intelligence

Affiliations:
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ORCID: 0000-0001-7615-8523
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Biography

Christopher is Professor of Artificial Intelligence at the University of Manchester and co-Director of the Health Data Research UK-Turing Wellcome PhD Programme in Health Data Science. 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.

Memberships of committees and professional bodies

(2020-) MRC Methodology Research Panel

(2018-) Academy of Medical Science Taskforce Future Leaders in Innovation, Enterprise and Research

(2018-) Royal Statistical Society Computational Statistics and Machine Learning

Fellow, Royal Statistical Society

Areas of expertise

Research Networks and Beacons

Keywords

  • Statistics, Machine Learning, Bioinformatics, Genomics, Digital Health, Computer Science, Mathematics

Education / academic qualifications

  • 2009 - Doctor of Philosophy, Statistics, Oxford University (2004 - 2008)
  • 2004 - Master of Engineering, Information and Computer Engineering, University of Cambridge (2000 - 2004)

Related information

Publications

A highly accurate platform for clone-specific mutation discovery enables the study of active mutational processes

Research output: Contribution to journal › Article

The Repertoire of Serous Ovarian Cancer Non-genetic Heterogeneity Revealed by Single-Cell Sequencing of Normal Fallopian Tube Epithelial Cells

Research output: Contribution to journal › Article

Patient-specific cancer genes contribute to recurrently perturbed pathways and establish therapeutic vulnerabilities in esophageal adenocarcinoma

Research output: Contribution to journal › Article

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