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.
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.
CHQ Statistical Support
Request support from CHQ statistical support service
UQ SMART Hub
The SMART Hub helps researchers leverage Queensland Health’s integrated electronic Medical Record (ieMR) data to drive healthcare innovation.
Leadership Team
Life Science and Health Team
Agriculture and the Environment Team
Digital Health Team
Vitaly Gnyubkin
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
The Principles of Machine Learning
16 April 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.
RNA-seq using Galaxy
23 April 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
24 April 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.
Easy automated image classification with Python and Roboflow
8 May 2026 9:00am–1:00pm in AI and Data Science
Logistic Regression
14 May 2026 9:00am–5:00pm in Biostatistics
This workshop provides a practical introduction to logistic regression using R, guiding participants through both the theory and application of modelling binary outcomes for inference and prediction.
Longitudinal and Mixed Model Analysis
21 May 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
22 May 2026 9:00am–5:00pm in Biostatistics
Learn how to import, manage, visualise, and conduct basic statistical analyses using SPSS.
The Principles of Machine Learning
28 May 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
18 June 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
19 June 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.
Winter School in AI and Predictive Agriculture
13 July 2026 9:00am–5:00pm in AI and Data Science
Learn to explore, analyse, and interpret data relationships using linear regression techniques in SPSS through hands-on, practical sessions.
Introduction to SPSS
17 July 2026 9:00am–5:00pm in Biostatistics
Learn how to import, manage, visualise, and conduct basic statistical analyses using SPSS.
Statistical Comparison Using R
29 July 2026 9:00am–5:00pm in Biostatistics
Learn how to choose, perform, and interpret statistical tests using R, including correlation, contingency tables, chi-square tests, t-tests, and ANOVA, with examples and exercises focused on biological and clinical research.
General enquiries
- Email: datasciencecrp@uq.edu.au
- Phone: +61 7 3346 2624
HDR student enquiries