Dr George Karystianis has a multi-disciplinary background (BSc in Computer Science and Medicine; MSc in Health Informatics) with a PhD in Text Mining and Epidemiology from the University of Manchester in 2014. With fifteen years of experience in designing text mining systems and understanding complex data needs, he has been able to create applications that identify information from large scale datasets (e.g., police records, epidemiological studies). Recently he has been leading a project that involves text mining half a million of domestic violence police records to extract key characteristics that can be used for predictive analytics and surveillance purposes - a world's first study - in collaboration with the NSW Police Force (NSWPF) resulting in several high profile publications (JMIR, The Gerontologist) and three federal government reports (Australian Institute of Criminology); and in 2020 got awarded a MRFF grant to investigate domestic violence in NSW during the COVID'19 state lockdowns on a population scale.

Some of his text mining systems have been used by hospitals (The Christie NHS Foundation trust, Manchester, UK), are publicly available for research (DOSES) or have significantly impacted the way research has been conducted. In particular, he automatically identified biases in animal based research resulting in the alteration of existing research protocols (ARRIVE guidelines) and receiving coverage by Nature. His work on domestic violence police narratives has been incorporated by the NSWPF into their administration infrastructure (called the CHIMERA system) to improve domestic violence surveillance and reporting.

George has been leading multi-disciplinary teams in prestigious international text mining competitions to solve various challenges in text mining resulting in a consistent ranking within the top ten teams worldwide. He forged and to this day maintains strong national and international research relationships with prestigious institutions (University of Manchester, UK; National Institute of Health, USA; University of Liverpool, UK; University of Sydney; Black Dog Institute).