Computational Product Researcher · PhD in HCI · Melbourne, AU
I architect & 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 | Live |
| Synthetic User Council | Agent-led ecosystem simulation for pre-deployment product research | Live |
| Agentic Payment Trust Mapping | Maps the Trust Line for agentic payment feature decisions | Live |
| Cognitive Load Monitor | Measures cognitive load from interaction telemetry and interprets the source using a CLT-grounded AI agent | Live |
| Research Conductor | AI agent that conducts user research studies autonomously, with static config-driven gates defining when human oversight is required. | Live |
| Parallax | Spatial research canvas that compares reasoning models against standard LLMs for critiquing qualitative clustering, making the AI's chain-of-thought visible to researchers so they can see why the AI disagrees — not just that it does. | Live |
| Ethos | Encoding research methodology as alignment principles for autonomous research agents. | Live |
| UXR Arena | Benchmarks AI tools on 10 standardised UX research tasks, scoring against Ethos's constitutional principles with dual evaluation — automated compliance and expert pairwise ranking. | In Progress |
40 orbital tools shipping almost daily through H1 2026 · full roadmap →
Python LangChain DSPy LangGraph Neo4j Streamlit Gemini Claude OpenAI pytest GitHub Actions Pandas NetworkX Click
Currently writing The AI-Native Product Researcher: Scaling Empathy and Rigor — a book on the transition from episodic insights to continuous intelligence.