Systems
Cybernetic thinking
I encourage students to attend to feedback, context, uncertainty, adaptation, and consequence. This supports more careful ways of understanding technological systems and the worlds they help produce.
Teaching · Supervision · Learning by making
Education
Education has always been close to my heart. My teaching draws on cybernetics, complexity, and hands-on learning to help students engage critically and creatively with the systems that shape our world.
This page gathers my teaching commitments, educational practice, research supervision, and mentoring activities.
Educational approach
Across undergraduate, postgraduate, and non-award courses, I aim to create learning environments where students can move between conceptual understanding, practical experimentation, and reflective engagement with real-world complexity.
Dialogue
Cross-disciplinarity
My teaching invites students to work across technical, social, cultural, and ethical perspectives. I value learning as a collective practice shaped by diverse forms of expertise and lived experience.
Practice
Learning by making
Students learn by building, testing, prototyping, and reflecting. I use hands-on activities to help learners encounter complexity not as an abstract idea, but as something they can observe, manipulate, and reason with.
Teaching engagements
My teaching engagement spans undergraduate, postgraduate, and non-award courses at ANU. The examples below highlight courses and learning experiences where I contribute to conceptual framing, facilitation, hands-on inquiry, and reflective learning design.
CYBN8001: Building Cyber-Physical Systems I & II
As a core year-long course in the Master of Applied Cybernetics, this course enables students to critically analyse emerging technological constellations and engage in informed conversations about cybernetic systems. Grounded in a learning-by-making ethos, the course supports students as they design and build cyber-physical system prototypes both individually and in diverse collaborative teams.
Decoding/Leading AI through Cybernetics
As part of the School's Navigating Cybernetic Futures Learning Experience (LX) series, I contribute to the delivery of this one-day non-award module. Working within a presenter team, I help equip participants from industry, government, and community sectors with clearer ways of understanding AI as part of wider social, cultural, economic, and ecological systems.
Undergraduate teaching
I developed and facilitate an undergraduate workshop within the Cybernetics for Social Impact curriculum (awarded Transdisciplinary Teaching Award 2026). Hosted by the ANU McCusker Institute, the workshop equips students with transdisciplinary tools and systems perspectives for engaging with complex social issues and creating meaningful impact.
Research supervision and mentoring
My supervision and mentoring practice is grounded in curiosity, care, and methodological openness. I am interested in supporting students whose projects engage with complexity, cybernetics, information dynamics, topology, AI-mediated systems, or related questions about emergence and knowledge systems.
Research supervision
I welcome projects that combine conceptual, computational, empirical, or design-oriented approaches to understanding complex systems.
Mentoring
Inspired by a pay-it-forward ethos, I aim to help students and emerging researchers clarify their questions, navigate uncertainty, and develop confidence in transdisciplinary work.
Possible project directions
- Modelling complex systems to deepen our understanding of pattern formation and the emergence of collective behaviour
- Topics related to human–AI interaction
- Information dynamics through language and communication