With support from

Join us for the 5th Genetics and Genomics Winter School (GGWS), an in-person event taking place from July 6th to 10th, 2026, at the University of Queensland in Brisbane, Australia. Our GGWS provides hands-on training in cutting-edge statistical and computational methods for genetic or genomic data analysis. There are 6 learning modules on offer, covering contemporary genetics subjects with a strong emphasis on practical exercises.

This course is suitable for individuals who:

  • Work with genomic data and aim to enhance analytical skills with new methods and tools.
  • Seek insights into the black box of statistical methods for genetics and genomics.
  • Work in related fields requiring statistical analysis and have some knowledge in genetics.

Throughout the week, participants will gain knowledge in:

  • State-of-the-art statistical methods/tools for analysing genetic and genomic data to address scientific research questions.
  • Understanding of the data types and data properties.
  • Practical usage of these methods/tools.
  • Understanding the underlying mechanisms of these methods.
  • Interpreting results effectively.
  • Potential pitfalls, caveats, and limitations.

Keynote Speaker

Associate Professor Julia Steinberg
"If we build it, will they come? – paving the path to translation and population health impact"

We are delighted to host Associate Professor Julia Steinberg as the keynote speaker for the 2026 Genetics and Genomics Winter School. Associate Professor Julia Steinberg is a Cancer Institute NSW Career Development Fellow and leads the Genomics and Precision Health stream of research. Her research program aims to integrate individual and population-level genomic, sociodemographic, medical, and behavioural information for successful precision health. A/Prof. Steinberg’s focus is on effectively and sustainably improving human health and reducing the burden of cancer.

What Past Participants Say

“Thanks so much to all the staff for the program, it was really really insightful and such a wonderful experience over.” – PhD student

“The organising team, the lecturers, and the facilitators were wonderful! They were very knowledgeable and extremely patient with answering Q’s and assisting with the practical sessions.” – PhD student

“Excellent, engaged lecturers. So helpful to have code and dummy data to work with and come back to.” – ECR researcher

“Pracs to reinforce learning from the lectures was very helpful.” – ECR researcher

“I thought it was really well organised and I liked how the practicals emphasised understanding the methods instead of just spying the code. The instructions and tutors were also very helpful and lovely.” – PhD Student

Learning Modules and Instructors:

** Click on the module name below for more information on each module.

Module 1:
Statistical Genomics 1
Genetic Mapping

Dr Kathryn Kemper

Module 2:
Cellular Transcriptomics

A/Prof Quan Nguyen

Module 4:
Genetic Epidemiology

Dr Daniel Hwang

Module 6:
Systems Genomics &
Pharmacogenomics

A/Prof Sonia Shah

Key Dates:

  • Registration Opens: 8th April 2026
  • Registration Closes: 26th June 2026
  • Application Deadline for Scholarships: 29th May 2026
  • Course Dates: 6th - 10th July 2026

Program:

Explore our program designed to enhance your skills in statistical and computational methods for genomic data analysis, with flexible modules that allow you to tailor your one-week course based on your interests.

Monday Tuesday Wednesday Thursday Friday
AM Noon PM AM PM AM PM AM PM AM PM
HPC Login, Lab tour &
Keynote Lecture		 BBQ Lunch Module 1:
Genetic Mapping		 Module 3:
Heritability Estimation		 Module 5:
Polygenic Prediction
Module 2:
Cellular Transcriptomics		 Module 4:
Genetic Epidemiology		 Module 6:
Systems Genomics &
Pharmacogenomics