Pablo Alberto Moscato

Pablo MOSCATO 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.Prof. Moscato 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 cited more than 4,444 times (data from Google Scholar). The journal "Memetic Computing" is largely dedicated to a methodology he championed since early work with Mike Norman at Caltech in 1988 (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 fellowship supports him for four years (2012-2016) to develop memetic algorithms for multiobjective optimization problems in clinical bioinformatics for personalized and translational medicine.

Prof. Pablo Moscato 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 since 2007.Prof. Moscato 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 cited more than 4,444 times (data from Google Scholar). The journal "Memetic Computing" is largely dedicated to a methodology he championed since early work with Mike Norman at Caltech in 1988 (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 fellowship supports him for four years (2012-2016) to develop memetic algorithms for multiobjective optimization problems in clinical bioinformatics for personalized and translational medicine.