GDG AI for Science - Australia

1200 Group Members

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About

Welcome to the Google Developer Group (GDG) for Science, Australia chapter. We are a community of practitioners that seek to advance the adoption of AI in Australian Science and provide a platform for knowledge exchange, collaboration, and learning, fostering a thriving ecosystem of AI-powered scientific discovery. Through this community we invite all scientific researchers (private and public sector) who are interested in using Google AI tools for their work to share their knowledge and help build a collaborative community that empowers scientists to learn, share and grow. 

List of Google-adjacent resources to support your research:

We welcome your feedback and opinion on what would benefit you most from this community: Member Survey↗

Calling for Expressions of Interest for a Digital Future Initiative project collaboration with Google Australia: DFI EOI↗ 

Calling for Expressions of Interest for a co-hosted Kaggle competition with your data: Kaggle EOI↗

Connect with us: 


GDG for Science is an independent group and our activities and the opinions expressed here should in no way be linked to Google, the corporation. To learn more about the GDG program, visit https://developers.google.com/community/gdg/

Upcoming events

20 jun 2025

Speaker Session / Tech Talk

Intro to Python with AI for Science

This course is aimed at researchers who want to learn about the capabilities of Python and how they can leverage AI to solve their domain-specific problems.

26 jun 2025

Speaker Session / Tech Talk

JAX series part 1: Introduction to JAX and the JAX AI Stack

Unlock the secrets of JAX! Learn why it's revolutionizing AI development through its modular ecosystem and how leaders use it to build and deploy state-of-the-art models and empower the next generation of intelligent applications.

4 jul 2025

Speaker Session / Tech Talk

JAX series part 2: JAX for Combinatorial Optimisation

Dive into parallel continuous local search for SAT and pseudo-Boolean problems. Learn how JAX enables high-performance, scalable search algorithms to tackle complex problems efficiently. Discover the power of GPU-accelerated optimisation.

Past events

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Organizers

Susan Wei

Organizer Monash University

Pablo Rozas Larraondo

Organizer Haizea Analytics

Marcel Scharth

Organizer The University of Sydney

Lifi Huang

Organizer Monash University

Mauricio Marrone

Macquarie University Macquarie University

David Kainer

University of Queensland The University of Queensland

Nathaniel Butterworth

Science Catalyst Program Manager Google

Kunal Ostwal

University of Sydney University of Sydney

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