Recent projects designing decision tools, AI surfaces, and analytics for commercial teams.
Three principles that show up in everything I design.
Reducing complexity is the complexity.
The hardest part of designing for technical products isn't the interface — it's making the underlying system legible. Most ‘simple’ designs hide complexity that has to surface eventually.
Trust is the design problem.
Especially with AI. Users don't reject AI — they reject AI they can't verify. Every recommendation needs to show its work: the math, the source, the lifecycle, the confidence.
Research closes the loop.
Customer sessions, prototype testing, observed behaviour — the work product isn't the artifact, it's a closer reading of the problem. Ship the design that earned that reading.
Senior product designer based in Toronto.
I'm currently at Enable, where I design B2B SaaS for rebate management — most recently leading design for an AI-powered platform that helps commercial teams find, explain, simulate, and approve better rebate structures.
Before Enable, I worked across fintech (Fidelity Canada, Ledn) and banking (CIBC), with a GBDA degree from the University of Waterloo. I'm drawn to products where the stakes are real: financial decisions, complex data, and AI that has to earn trust to be useful.
Nine years in, what I care about hasn't changed much: research-led design, evidence over polish, and treating complexity as the actual design problem.