title: Big data for big questions: it is time for data analysts to act.
abstract: Pablo Moscato speaks to Francesca Lake, Managing EditorAustralian Research Council Future Fellow Prof. Pablo Moscato was born in 1964 in La Plata, Argentina. Obtaining his B.Sc. in Physics at University of La Plata, his PhD was defended at UNICAMP, Brazil. While at the California Institute of Technology Concurrent Computation Program he developed, in collaboration with Michael Norman, the first application of a methodology later called 'memetic algorithms', which is now widely used internationally. He is the founding co-director of the Priority Research Centre for Bioinformatics, Biomarker Discovery and Information-based Medicine (CIBM) (2006-present) and the funding director of the Newcastle Bioinformatics Initiative (2002-2006) of The University of Newcastle (Australia). He is also Chief Investigator of the Australian Research Council Centre in Bioinformatics. He is one of Australia's most cited computer scientists. Over the past 7 years, he has introduced a unifying hallmark of cancer progression based on the changes of information theory quantifiers, and developed a novel mathematical model and an associated solution procedure based on combinatorial optimization techniques to identify drug combinations for cancer therapeutics. In addition, he has identified proteomic signatures to predict the clinical symptoms of Alzheimer's disease, among other 'firsts'. He is a member of the Editorial Board ofFuture Science OA.
authors.affiliation: Centre for Bioinformatics, Biomarker Discovery & Information-Based Medicine, The University of Newcastle, Callaghan, New South Wales, Australia.
authors.forename: Pablo
authors.initials: P
authors.lastname: Moscato
keywords: Alzheimer's disease; big data; cancer; information-based medicine; personalized medicine