Imperial College London


Faculty of EngineeringDepartment of Computing

Professor of Computing Science



+44 (0)20 7594 8182y.guo Website




Ms Diana O'Malley +44 (0)20 7594 0991




211AWilliam Penney LaboratorySouth Kensington Campus





Yike Guo is a Professor of Computing Science in the Department of Computing at Imperial College London. He is the founding Director of the Data Science Institute at Imperial College, as well as leading the Discovery Science Group in the department. Professor Guo also holds the position of CTO of the tranSMART Foundation, a global open source community using and developing data sharing and analytics technology for translational medicine.


Professor Guo received a first-class honours degree in Computing Science from Tsinghua University, China, in 1985 and received his PhD in Computational Logic from Imperial College in 1993 under the supervision of Professor John Darlington. He founded InforSense, a software company for life science and health care data analysis, and served as CEO for several years before the company's merger with IDBS, a global advanced R&D software provider, in 2009.


He has been working on technology and platforms for scientific data analysis since the mid-1990s, where his research focuses on knowledge discovery, data mining and large-scale data management. He has contributed to numerous major research projects including: the UK EPSRC platform project, Discovery Net; the Wellcome Trust-funded Biological Atlas of Insulin Resistance (BAIR); and the European Commission U-BIOPRED project. He is currently the Principal Investigator of the European Innovative Medicines Initiative (IMI) eTRIKS project, a €23M project that is building a cloud-based informatics platform, in which tranSMART is a core component for clinico-genomic medical research, and co-Investigator of Digital City Exchange, a £5.9M research programme exploring ways to digitally link utilities and services within smart cities.


Professor Guo has published over 200 articles, papers and reports. Projects he has contributed to have been internationally recognised, including winning the “Most Innovative Data Intensive Application Award” at the Supercomputing 2002 conference for Discovery Net, and the Bio-IT World "Best Practices Award" for U-BIOPRED in 2014. He is a Senior Member of the IEEE and is a Fellow of the British Computer Society.



Yang G, Yu S, Dong H, et al., 2018, DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction, Ieee Transactions on Medical Imaging, Vol:37, ISSN:0278-0062, Pages:1310-1321

Takahashi K, Pavlidis S, Kwong FNK, et al., 2018, Sputum proteomics and airway cell transcripts of current and ex-smokers with severe asthma in U-BIOPRED: an exploratory analysis, European Respiratory Journal, Vol:51, ISSN:0903-1936

Hekking P-P, Loza MJ, Pavlidis S, et al., 2018, Pathway discovery using transcriptomic profiles in adult-onset severe asthma, Journal of Allergy and Clinical Immunology, Vol:141, ISSN:0091-6749, Pages:1280-1290

Bai L, Liang J, Du H, et al., 2018, A novel community detection algorithm based on simplification of complex networks, Knowledge-based Systems, Vol:143, ISSN:0950-7051, Pages:58-64

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