Artificial Intelligence at ICON: How a world-leading healthcare intelligence CRO is transforming the delivery of clinical trials

Gerard Quinn, VP, IT Innovation & Informatics, ICON

Gerard Quinn has worked at ICON for over nine years and currently holds the role of VP of Innovation & Informatics. He has over 25 years of experience in the life science industry, in both human and animal health, with experience in innovation, strategy and project portfolio management, process improvement and IT.

Gerard holds an MSc in Strategic Quality Management — Lean Six Sigma, a BSc is Technology Management and a Lean Six Sigma Master Black belt. He applies his experience to all areas of e-clinical innovation and the nurturing of the enterprise innovation mindset.

Gerar’s team at ICON leads innovative activities in technology and data science. They identify and build critical partnerships with life science and technology leaders to co-develop services and capabilities by evaluating joint capabilities with the aim of driving efficient clinical trials for our sponsors and patients. They also lead the development of ML/AI solutions that improve cycle times across the clinical research value chain, provide new intelligence and insight for key decision-makers and in general improve the speed and quality of clinical research.

Michael Phillips, Senior Director, Innovation & Informatics, ICON

Michael Phillips has worked for ICON for approximately 10 years and currently leads the innovation data science team. He has over 20 years of experience in IT, business intelligence, data analytics and eClinical innovation, accumulating strong expertise in team leadership, business partnering, solution design and customer engagement. He has broader experience in academic biomedical research, with a PhD in Drug Metabolism Enzymology, and spent 10 years working in management roles in biomedical publishing. Michael is the author of TIBCO Spotfire — A Comprehensive Primer.

Gilyana Borlikova, PhD, Data Science Manager, IT Innovation & Informatics, ICON

Gilyana Borlikova is a Data Science Manager (Principal Data Scientist) at ICON plc. IT Innovation and Informatics Data Science team, responsible for the development and delivery of ML/AI solutions. Over 20 years of experience in life sciences and 7 years specifically developing and implementing Machine Learning algorithms for clinical trial operations.

Prior to joining ICON, Gilyana spent 15 years working in several leading research-intensive universities, including the UCD Centre for Business Analytics at University College Dublin (Ireland), the University of Queensland (Australia) and the University of Sussex (UK). Gilyana holds an MSc in Business Analytics and PhD in Neuroscience. She has extensive research experience with five peer-reviewed publications in the field of machine learning and 15 peer-reviewed journal publications in biomedical research.