Penulis: Natalie Jane de Vries

Pablo Moscato is co-director of HMRI’s Information Based Medicine research program. He obtained his Bachelor of Science degree from the University of La Plata in Argentina before completing a Ph D at the University of Campinas in Brazil. During a postdoctoral position at the California Institute of Technology, he developed a new methodology called ‘memetic algorithms’ which is now widely used around the world. Pablo Moscato has made several key advances in personalised medicine over the past 27 years of his career including identifying important biomarkers and hallmarks of cancer and epilepsy. He has also identified gene expression maps for multiple sclerosis and developed algorithms for successfully discovering biomarkers for Alzheimer’s disease with high accuracy for predicting the onset of the disease, which was previously thought to be a disease somewhat precarious to predict. Pablor Moscato has won several prestigious awards including the best paper award at the First European Workshop in Evolutionary Computation and Bioinformatics and has also been an invited keynote speaker at numerous scientific conferences including the Metaheuristics International Conference in Singapore and the Congress of the Chilean Institute of Operations Research in 2011. He has successfully supervised more than 13 Ph D candidates to completion and is currently supervising another 12 candidates enrolled at the University of Newcastle. Pablo Moscato has also gained more than $11 million in project grant funding over the past 15 years.  Pablo Moscato is an Australian Research Council (ARC) Future Fellow and Founding Director of the University of Newcastle’s Priority Research Centre (PRC) for Bioinformatics, Biomarker Discovery and Information-Based Medicine and also the Newcastle Bioinformatics Initiative.  Natalie de Vries is a Conjoint Research Fellow of the University of Newcastle, Australia and a Business Consultant for Atos; a French multinational IT service and consulting company. She holds a B.Com in Economics, a B.Bus in International Business and Marketing and a first-class Honours thesis in Marketing at the University of Newcastle. She has worked at the University”s Priority Research Centre for Bioinformatics, Biomarker Discovery and Information-Based medicine (CIBM), which was later re-branded as the group of Life and Economy Applications of Data Science (LEADS). Here she conducted interdisciplinary research with computer scientists in the field of computational social science and she was in charge of the centre”s outgoing communications to the general and online community and engaged with private donors of the centre. Natalie”s research publications encompass computational social science, marketing, online consumer behaviour, social media, clustering, network analytics and related areas. In her consultancy work she focuses on digital transformation projects, AI and analytics projects and implementations in the retail and telecom sectors.