Lead UX navigating the AI era
For twelve years I've simplified complex back-office systems, with cognitive neuroscience and HCI as the foundation. These days I run an open lab: 52 apps in 52 weeks, plus essays and experiments, to map what UX work becomes when AI is in the room.
Field Notes
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Science-Based Design
I use what I learned in neuroscience to reduce cognitive load and help people handle complex data without getting overwhelmed.
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Facilitation
I've run 100+ workshops across 8 countries: I lead design teams straight to the root of business problems.
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Built with Code
Because I write code myself (Go, Python, TypeScript), I design things that are technically solid and accessible, and I can prototype AI features myself instead of writing specs for someone else to build.
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Complex Workflows
I simplify internal enterprise tools and data-heavy workflows: banking, pharma, e-commerce, public sector.
Case studies
I simplify complex systems, with the metrics to show for it.
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Designing a research-platform suite for pharmaceutical R&D
5.5 years leading UX for the platforms pharma scientists use to plan, run, and compare their studies.
2 wks → days Case study -
Finding out who our small-business customers actually were
The bank had ~160K small-business customers and no real map of who they were. Here's what the transaction data showed.
~160K MAU Case study
Live experiments
Apps and tools shipping from the open lab. Each has a case study and a live demo.
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dopadone - roles, projects, tasks
A calm GTD task manager: roles, projects and tasks in three columns. My first bigger app from the open lab.
Live Experiment -
Dopawrite - two prompt modes
A writing tool with sequential and random prompt modes, a combination I hadn't seen anywhere else.
Live Experiment -
Bathroom Designer - built in 4 hours
Sketch the floor plan, place fixtures, review the design. The bathroom from this tool is actually built.
Live Experiment
Let's connect
I'm always open to discussing new projects, design challenges, or the intersection of UX and AI.