Yuan Lab website
Dr Yinyin Yuan leads the Computational Pathology and Integrative Genomics team in the Centre for Evolution and Cancer and the Division of Molecular Pathology. She is a tenured Reader in Computational Pathology and holds a prestigious Cancer Research UK Career Establishment Award to study lung cancer using artificial intelligence and digital pathology.
Prior to ICR she obtained degrees in computer science from the University of Science and Technology of China (BSc) and University of Warwick (MSc and PhD). During her postdoctoral research at the Cancer Research UK Cambridge Institute, she also served as a member of the governing body at Wolfson College, University of Cambridge.
She brings over a decade of experience in machine learning and digital pathology to cancer research to develop innovative clinical tests and therapies. Her team focuses on building the interface between artificial intelligence, cancer biology, and clinical science, to decipher and target cancer evolution and immune escape.
Output of her research includes pioneering technologies such as a patent WO/2016/083791 “Scoring of tumour infiltration by lymphocytes”, and high-impact publications in Nature Medicine, Nature Communications, Cancer Research, JNCI, and PLoS Medicine.
Her research is supported by Cancer Research UK, Breast Cancer Now, Children's Cancer and Leukaemia Group, The Rosetrees Trust, NIHR Biomedical Research Centre, the National Cancer Institute and the Department of Defense in the US, EC Horizon2020, private foundations and industry.
Her team is currently leading research programmes focused on AI, pathology and/or deep-omics development in 6 international scientific programmes and consortiums, including CRUK programmes TRACERx, Sarcoma Network Accelerator, Early detection, Brain Tumour award, H2020 CONTRA, and NIH Arizona Cancer Evolution Center.
Outside work, she is a keen hiker and rock climber.
Dr Yuan is a member of the Cancer Research UK Convergence Science Centre, which brings together leading researchers in engineering, physical sciences, life sciences and medicine to develop innovative ways to address challenges in cancer.
Convergence Science Centre