Nophar Geifman

My interests lie in data sciences within healthcare and medicine; extending the use of artificial intelligence and big-data analytics to improve patient-centric predictions, treatment and outcomes, while also enhancing the open sharing of biomedical data. I have developed and employed a wide range of AI methods and applications, from text mining to machine learning, with the overarching goal of producing translational research with real-world impact.

My research centres on patient stratification, and biomarker discovery from large, diverse clinical and ‘omics’ datasets; applying informatics techniques, AI and machine learning for discovery in various areas of medicine, particularly where conventional research methods have over-simplified the inherent complexity of disease and care.