Data Science Collaborative Research Platform

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.

 

Research Design and Statistics
  • Experimental Design
  • Survey Design
  • Foundational Analysis
  • Statistical Modelling
Analytics and AI
  • ML/DL (AI)
  • Computer Vision
  • Predictive Modelling
  • Pattern Recognition
Omics and Bioinformatics
  • Integrative Analysis
  • Genomics – Transcriptomics
  • Single Cell Omics
  • Metagenomics
Infrastructure and Apps
  • Sensitive Data Platforms
  • Workflows – Automation
  • API – Apps – Tools
  • AI Deployment

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

CHQ Statistical Support

Request support from CHQ statistical support service

Leadership Team

 

Dr Dom Gorse

Dr Dom Gorse

Director, Data Scientist

 

Dr Anne Bernard

Dr Anne Bernard

Head of Statistics

Dr Sebastian Lopez Marcano

Dr Sebastian Lopez Marcano

Senior Manager Analytics

 

 

 

 

Life Science and Health Team

 

Dr Anne Bernard

Dr Anne Bernard

Head of Statistics

 

 

Dr Ahmed Mehdi

Dr Ahmed Mehdi

Senior Biostatistician and Bioinformatician

Dr Andrew Jones

Dr Andrew Jones

Senior Biostatistician

 

 

Dr Julian Zaugg

Dr Julian Zaugg

Senior Bioinformatician

 

Justin Scott

Justin Scott

Biostatistician

 

 

Mike Thang

Mike Thang

Senior Bioinformatician

 

Valentine Murigneux

Valentine Murigneux

Senior Bioinformatician

 

 

 

 

 

Agriculture and the Environment Team

Dr Sebastian Lopez Marcano

Dr Sebastian Lopez Marcano

Senior Manager Analytics

 

 

Dr Robert Armstrong

Dr Robert Armstrong

Research Fellow/Senior Research officer

Dung Nguyen

Dr Dung Nguyen

Machine Learning and Data Processing Specialist

 

 

Justin Scott

Justin Scott

Biostatistician

 

Varun Ranganath

Varun Ranganath

Scientific Officer: Biometrician

 

Pravesh Kumar

Pravesh Kumar

Research Software Engineer

 

 

Digital Health Team

Mark Hoffman

Mark Hoffman

Senior Health Informatician

 

 

Dr Ronald Dendere

Dr Ronald Dendere

 

 

Vitaly Bnyubkin

Vitaly Gnyubkin

 

 

 
 

 

 BioCommons UQ

Nigel Ward

Dr Nigel Ward

A/Director: Platforms

 

 

Melissa Burke

Dr Melissa Burke

Training Manager

 

Gareth Price

Dr Gareth Price

Project Lead - Galaxy Australia

 

 

Igor Manukin

Dr Igor Manukin

User Support - Galaxy Australia

 

Mike Thang

Mike Thang

Senior Bioinformatician

 

 

 

 

 

Operations Team

Aria Liu

Aria Liu

Data Science Training Support

 

 

Brian Kemish

Brian Kemish

System Administrator

 

 

 
 

Introduction to SPSS

15 October 2025 9:00am–5:00pm in Biostatistics

Learn how to import, manage, visualise, and conduct basic statistical analyses using SPSS.


Metagenomics using Galaxy

22 October 2025 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

5 November 2025 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.


Logistic Regression

19 November 2025 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 modeling binary outcomes for inference and prediction.