
Always approachable and supportive.
Encourages students to ask questions.
Encourages students to explore new ideas.
Encourages open-minded and thoughtful discussions.
Great Professor!
Dr. Carlos Riveros is a Conjoint Senior Lecturer in the School of Medicine and Public Health (Computer Science and Software Engineering) within the Faculty of Health and Medicine at the University of Newcastle, Australia. He holds a PhD in Physics from Universidad Nacional de la Plata, Argentina (1990), a Bachelor of Physics from the same institution, and a Master of Medical Statistics from the University of Newcastle. Boasting over thirty years of experience in computer science, data analysis, and software engineering in academic, scientific, and industrial environments, Riveros began his academic career with postdoctoral research as a Visiting PostDoc Research Associate at the University of Houston's Allied Geophysical Labs (1992-1993). In Argentina, he served as Chief Geophysical Researcher at Sismos Geophysical Company (1991-1994), CEO and Principal Software Engineer at VFlops Informatica (1994-2001), Contract Performance Manager at General Electric (2001-2006), and I&C Senior Engineer/Chief of Engineering at Termoelectrica San Martin (2006-2008). He joined the University of Newcastle in 2008 as Computing Scientist and Senior Software Developer at the Priority Research Centre for Bioinformatics, Biomarker Discovery and Information-Based Medicine. Since 2016, he has been HMRI Senior Bioinformatician and Health Informatician at the Hunter Medical Research Institute (HMRI), where he heads the Bioinformatics and AI Stream.
Riveros specializes in bioinformatics and health informatics, providing data analysis services for omics sequencing data, integrative analysis, network-based analysis, and business intelligence tools for health data. His research interests include machine learning, statistics, algorithms, multi-dimensional clustering and classification in large to very large datasets, integration of data from multiple domains, and high-performance computing techniques such as massively parallel systems (GPUs) and heterogeneous distributed computing. With 47 peer-reviewed articles, his work has garnered over 1,594 citations (Google Scholar h-index 20, i10-index 37). Key publications encompass 'Identification of genome-wide SNP-SNP and SNP-clinical Boolean interactions in Age-related Macular Degeneration' (2015), 'The MST-kNN with paracliques' (2015), 'Entropy-based High Performance Computation of Boolean SNP-SNP Interactions Using GPUs' (2014), 'kNN-MST-Agglomerative: A fast and scalable graph-based data clustering approach on GPU' (2012), 'A new high-performance computing approach to screen all pairs of SNPs for epistatic interactions' (2010), and recent contributions like 'Inflammation-induced loss of CFTR-expressing airway ionocytes in non-eosinophilic asthma' (2025) and 'Polygenic prediction of body mass index and obesity through the life course and across ancestries' (2025). He has taught courses including Computer Graphics (2008) and Personal Software Process (2008), and co-supervises PhD students.
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