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Pablo Moscato

ARC Future Fellow and Professor in Computer Science and Software Engineering at University of Newcastle

Australian Research Council Future Fellow Prof. Pablo Moscato was born in 1964 in La Plata, Argentina. He obtained his BSc. of Physics at University of La Plata, and he defended his PhD at UNICAMP, Brazil. While at the California Institute of Technology Concurrent Computation Program (1988-89) he developed in collaboration with Michael Norman a methodology called "memetic algorithms'' which is now widely used around the world.

He is the founding co-director of the Priority Research Centre for Bioinformatics, Biomarker Discovery and Information-based Medicine (2006-) and the funding director of Newcastle Bioinformatics Initiative (2002-2006) of The University of Newcastle. He is also Chief Investigator of the Australian Research Council Centre in Bioinformatics.

He has been working in Evolutionary Computation for 25 years, and in heuristic methods for Operations Research problems since 1985. His work and ideas have been highly influential in a large number of scientific and technological fields and his manuscripts have been highly cited. The journal "Memetic Computing" is largely dedicated to a methodology he championed (memetic algorithms). He is one of Australia's most cited computer scientists.

In the past seven years he has introduced a unifying hallmark of cancer progression based on the changes of information theory quantifiers, developed a novel mathematical model and an associated solution procedure based on combinatorial optimization techniques to identify drug combinations for cancer therapeutics. He has also identified proteomic signatures to predict years in advance the clinical symptoms of Alzheimer's Disease among other `firsts'.

His current ARC fellowship supports him for four years (2012-2016) to develop memetic algorithms for multiobjective optimization problems in clinical bioinformatics for personalized and translational medicine.