A biochemist by training, George was initially involved in the field of Computational Biology following a MSc degree by research on correlated mutations analysis on G-Protein coupled receptors which involved modelling class A G-Protein Coupled Receptors (GPCRs) and drug design. He then proceeded to obtain a PhD in the areas of Chemoinformatics/Bioinformatics at Imperial College of London.

After the completion of his PhD, he was awarded a MRC Career Development Fellowship at MRC Harwell, Oxford. In 2005, he joined the Department of Genetics at Cambridge University and was part of various international consortia aimed at facilitating the translation of basic research findings to applications that aimed at the identification of the genetic underpinnings of disease mechanisms. In 2012, he became the head of the Bioinformatics and Computational Biology Group at Aberystwyth University, an interdisciplinary group of bioinformatics researchers, working at the interface between computing, biology and medical applications and crossing the Department of Computer Science and the Institute of Biological, Environmental and Rural Sciences (IBERS). George maintains an Aberystwyth University honorary Professorship in Bioinformatics.

In September 2015, George joined the University of Birmingham as the Chair of Clinical Bioinformatics, a joint appointment between the UoB Medical School and the University Hospitals Birmingham NHS Foundation Trust. Professor Gkoutos splits his time between the Institute of Translational Medicine, the Centre of Computational Biology, the College of Medical and Dental Sciences and the Queen Elizabeth Hospital.

Research interests

Professor Gkoutos main interests lie in the fields of clinical and biomedical informatics, computational biology, and translational research aiming at the discovery of molecular origins of human disease and the development of novel disease diagnostic and intervention strategies. His expertise lies in the fields of integrative systems biology, biomedical knowledge formalisation, standardisation and representation, multimodal large data harmonisation, interoperability, integration and analysis, comparative phenomics, chemical and clinical informatics. The primary areas of applications include development of data standards, analytical methods and tools, as well as the semantic representation, integration and analysis of biomedical and health data, enabling their translation both within and across species, domains and levels of granularity with application on the investigation of the pathophysiology and pathobiology of human disease, and pharmacogenomics