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Pablo Moscato

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Pablo Moscato (born May 31, 1964 in La Plata, Argentina) is a computer scientist working in fields including bioinformatics, operations research, computational stylistics, personalized medicine and discrete applied mathematics.[1][2][3] He is currently professor of computer science at the University of Newcastle, Australia.

Education

Moscato obtained a Bachelor of Science degree in physics from the University of La Plata in Argentina in 1987.[4] He was a core research member of the Caltech Concurrent Computation Program and completed his PhD at Universidade Estadual de Campinas between 1996 and 2001.

Career

In 1987, Moscato introduced the Memetic algorithm when at the Caltech Concurrent Computation Program led by Geoffrey C. Fox at the California Institute of Technology.[5]

Moscato joined The University of Newcastle, Australia, in 2002, and is currently professor of computer science.[6]

Professional roles

  • Founding director for the Newcastle Bioinformatics Initiative (2002-2006)
  • Founding co-director for the Priority Research Center for Bioinformatics, Biomarker Discovery and Information-based Medicine (2006-2015)
  • Founding co-lead for the Information-based Medicine Program, HMRI (2007-2018)
  • Founding member for the Australian–New Zealand Multiple Sclerosis Genetics Consortium
  • Elected member of the University of Newcastle Council (2014-2018)[7]

Publications

As of 2019 Moscato has co-edited books, 50+ book chapters, 100+ peer-reviewed journal papers and 100+ international conference papers and received over 11,000 citations.[8][9]

Books

  • Business and Consumer Analytics: New Ideas (2019)[10]
  • Handbook of Memetic Algorithms (2012)[11]
  • New Ideas in Optimization (1999)[2]
  • Optimización Heuristica y Redes Neuronales (1996)[3]

References

  1. Unlocking the Potential of Personalised Medicine with Computer Science, retrieved 2019-11-02
  2. 2.0 2.1 Corne, David; Dorigo, Marco; Glover, Fred; Dasgupta, Dipankar; Moscato, Pablo; Poli, Riccardo; Price, Kenneth V., eds. (1999). New Ideas in Optimization. Maidenhead, UK, England: McGraw-Hill Ltd., UK. ISBN 9780077095062. Search this book on
  3. 3.0 3.1 Optimización heurística y redes neuronales. Díaz Velarde, Adenso., González Fernández, José Luis. Madrid: Paraninfo. 1996. ISBN 8428322694. OCLC 43346841. Search this book on
  4. Moscato, Pablo (2015-11-01). "Big data for big questions: it is time for data analysts to act". Future Science OA. 1 (3): FSO21. doi:10.4155/fso.15.19. ISSN 2056-5623. PMC 5137851. PMID 28031895.
  5. Moscato, Pablo (1989). "On Evolution, Search, Optimization, Genetic Algorithms and Martial Arts: Towards Memetic Algorithms". Caltech Concurrent Computation Program. Report 826.
  6. "Professor Pablo Moscato". University of Newcastle. University of Newcastle. Retrieved 24 January 2021.
  7. "Three staff members elected to UON's Council". The University of Newcastle, Australia. 2016-07-19. Retrieved 2019-11-02.
  8. "Pablo Moscato - Google Scholar Citations". scholar.google.com.au. Retrieved 2019-11-02.
  9. "dblp: Pablo Moscato". dblp.uni-trier.de. Retrieved 2019-11-02.
  10. MOSCATO, PABLO; Vries, Natalie Jane de, eds. (2019). Business and Consumer Analytics: New Ideas. Springer International Publishing. ISBN 9783030062217. Search this book on
  11. Neri, Ferrante; Cotta, Carlos; MOSCATO, PABLO, eds. (2012). Handbook of Memetic Algorithms. Studies in Computational Intelligence. Berlin Heidelberg: Springer-Verlag. ISBN 9783642232466. Search this book on


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