The Data Science CRP provides essential expertise in bioinformatics, statistics, biometry, and applied AI, enabling Higher Degree by Research (HDR) students and researchers to harness the full potential of their data.
We support the entire research lifecycle, from initial data collection and management to advanced analysis and visualisation.
Services include access to Subject Matter Experts at salary cost for on-demand support or embedded personnel, collaboration on grant applications, upskilling HDRs and ECRs through training workshops and co-supervision, and ensuring researchers can work effectively with sensitive data.
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Research Design and Statistics
Analytics and AI
Omics and Bioinformatics
Infrastructure and Apps
Research Support
Researchers and Higher Degree Research students can receive a free consultation to help with research projects, publications and upcoming grant applications.
National Environmental and Agriculture Analytics
Scalable data science support across grains analytics, plant phenomics, disease resistance breeding, and genomic prediction, delivering research pipelines, operational tools, and deployed apps that accelerate decision making.
Australian BioCommons
A national research infrastructure enablinglife science research through platforms, data and tools such as Galaxy for analysisworkflows, Apollo for genome annotation,and AlphaFold for protein structureprediction.
UQ SMART Team
SMART Team is a team of ieMR experts who securely extract Queensland Health’s medical records for research, centralising access across QH sites while ensuring full compliance with ethics and governance requirements.
CLARA
CLARA is a secure platform developed withQueensland Health (QH) that enables approved clinicians and researchers to conduct AI research on QLD iEMR data within QH protected environments, without data leaving the network.
UQ TRE
UQ Trusted Research Environment (TRE) enables researchers to work and/or share sensitive data while ensuring data sovereignty, security, and privacy. We offer guidance on data access applications, data management and data governance for sensitive data.
UQ REDCap
UQ REDCap is managed by the Research Computing Centre and Information Technology Services at UQ, with general support available through the REDCap Administrator. Project-specific support is also available from the Data Science CRP on a cost-recovery basis.
Leadership Team
Dr Jodie Austin
Senior Manager Digital Health
Life Science and Health Team
Sophie Dallest
Bioinformatician
Dr Gabor Mihala
Senior Biostatistician
Agriculture and the Environment Team
Digital Health Team
Dr Jodie Austin
Senior Manager Digital Health
Nikki Roetman
Senior Health Informatician
Vitaly Gnyubkin
Rhona Duncan
Research Platform Fellow, Data Governance
Tara Isaacs
Clinical Informatician
Yashodhya Wijesinghe
Data Engineer
Joshua McRae
Clinical Informatician
BioCommons UQ
Dr Nigel Ward
A/Director: Platforms
Dr Melissa Burke
Training Manager
Dr Gareth Price
Project Lead - Galaxy Australia
Dr Igor Manukin
User Support - Galaxy Australia
Operations Team
Aria Liu
Data Science Training Support
Nick Rhode
System Administrator
The Principles of Machine Learning
13 August 2026 9:00am–5:00pm in AI and Data Science
This workshop provides the introduction to machine learning, guiding participants through core concepts, key algorithms, data preparation, and hands-on model building to support research-driven applications.
Introduction to NGS and Bioinformatics Analysis
19 August 2026 9:00am–1:00pm in Bioinformatics
Learn how to analyse Next-Generation Sequencing (NGS) data using the Galaxy platform, covering key bioinformatics workflows such as quality control, read alignment, and variant analysis in a beginner-friendly, code-free environment.
Exploring and Predicting using Linear Regression in R
26 August 2026 9:00am–5:00pm in Biostatistics
Learn to apply and interpret linear regression in R through hands-on practice.
Assembly of Long-Read Sequencing with Galaxy
27 August 2026 9:00am–12:30pm in Bioinformatics
Learn to assemble a high-quality bacterial genome using Oxford Nanopore and Illumina sequencing data via the Galaxy Australia platform.
Statistical Comparisons using SPSS
28 August 2026 9:00am–5:00pm in Biostatistics
Learn how to select, perform, and interpret common statistical tests using SPSS, with a focus on applying inferential statistics to real-world research data.
RNA-seq using Galaxy
16 September 2026 9:00am–5:00pm in Bioinformatics
This beginner-friendly workshop introduces RNA sequencing and its bioinformatics analysis using the Galaxy platform, guiding participants through key steps from raw data quality control to differential gene expression analysis.
Exploring and Predicting using Linear Regression in SPSS
18 September 2026 9:00am–5:00pm in Biostatistics
Learn to explore, analyse, and interpret data relationships using linear regression techniques in SPSS through hands-on, practical sessions.
Longitudinal and Mixed Model Analysis
14 October 2026 9:00am–5:00pm in Biostatistics
This workshop covers the analysis of longitudinal data in R using Linear Mixed Models, with practical sessions and a focus on biological datasets.
Introduction to SPSS
16 October 2026 9:00am–5:00pm in Biostatistics
Learn how to import, manage, visualise, and conduct basic statistical analyses using SPSS.
Easy automated image classification with Python and Roboflow
22 October 2026 9:00am–11:30am in AI and Data Science
This hands-on workshop teaches the basics of computer vision, guiding participants from dataset creation to training and deploying models in Python using tools like Roboflow.
The Principles of Machine Learning
29 October 2026 9:00am–5:00pm in AI and Data Science
This workshop provides the introduction to machine learning, guiding participants through core concepts, key algorithms, data preparation, and hands-on model building to support research-driven applications.
Metagenomics using Galaxy
4 November 2026 9:00am–5:00pm in Bioinformatics
This beginner-friendly workshop introduces metagenomic analysis using MOTHUR in Galaxy, covering key steps like quality control, taxonomic classification, and diversity analysis. It’s ideal for life science researchers with basic Galaxy experience.
Statistical Comparisons using SPSS
6 November 2026 9:00am–5:00pm in Biostatistics
Learn how to select, perform, and interpret common statistical tests using SPSS, with a focus on applying inferential statistics to real-world research data.
General enquiries
- Email: datasciencecrp@uq.edu.au
- Phone: +61 7 3346 2624
UQ Support enquiries