Collaboration starts from real build momentum.
Current work includes a multi-expert agent ecosystem, scientific discovery and theorem engines, embodied multimodal systems, AI-native PhD workflows, and code-first grant infrastructure.
Work With Me
Different pathways, one standard: ambitious work with technical seriousness.
There are several ways to work together, from graduate study and postdoctoral research to partnerships, speaking, and media engagement.
That means prospective students can join active systems, collaborators can plug into working infrastructure, and funders can see program-level ambition rather than isolated project fragments.
What is a good fit
Students who want to work on frontier AI systems with both theoretical depth and translational ambition, and who are ready to treat AI as part of the research team rather than as a side tool.
What to send: CV, transcript, a concise research statement, and a short note explaining fit with one or two platform areas and how you think about novelty in the AI era.
Postdoctoral opportunities
Independent researchers who can help shape systems programs, mentor students, and push platform-scale projects forward in a world where AI agents can already contribute meaningfully to research and implementation.
What to send: CV, selected work, and a short proposal for the type of system or research direction you want to build.
Academic collaborations
Projects with a clear shared question, complementary capability, and room to build something genuinely new together.
Priority topics: scientific copilots, theorem AI, clinical AI, agency, critical thinking, judgement, taste, and deployable AI systems that stay ahead of the AI-generated baseline.
Industry, health, and government partnerships
High-impact problems where data, workflow, and deployment constraints are real, and where technical depth matters.
What to send: a short problem brief, constraints, timeline, and why collaboration is needed now.
Program-scale support
Especially relevant for people interested in frontier research infrastructure: discovery systems, AI-native training, trustworthy agents, health translation, and long-horizon scientific platforms.
Useful starting point: the challenge, why now, what capability would be unlocked, and what a successful 2-5 year program would change.
Speaking requests
Requests are especially welcome when the audience, objective, and level are clear from the start.
Please include: event type, date, audience profile, desired topic, format, and expected outcome.
How to reach out
Email is the most direct path for serious inquiries.
truyen.tran@deakin.edu.au