Computational Product Researcher · PhD in HCI · Melbourne, AU
I build AI-native research infrastructure — systems that keep humans in command while extending the reach of qualitative and quantitative insight.
CPR is the bridge from static insight to agentic intelligence. I architect open-source tools using Python, LangChain, DSPy, and LLMs that make research rigorous, transparent, and scalable.
| Project | What it does | Status |
|---|---|---|
| CausalTrack | Multimodal Say-Do Gap detection · Gemini + Neo4j · 611-node knowledge graph | CHI 2027 |
| Synthetic User Council | Agent-led ecosystem simulation for pre-deployment product research | CHI 2027 |
| transcript-cleaner | Fix messy interview transcripts · rule-based + model-agnostic LLM | Live |
40 orbital tools shipping every Friday through Dec 2026 · full roadmap →
Python LangChain DSPy LangGraph Neo4j Streamlit Gemini Claude OpenAI pytest GitHub Actions
Currently writing The AI-Native Product Researcher: Scaling Empathy and Rigor — a book on the transition from episodic insights to continuous intelligence.
Lead Researcher · ex-Google L6 (Transformative Impact) · Atlassian · PhD HCI University of Melbourne