I study behavior at the edge of what technology has made possible and what culture hasn't caught up with yet.
In an era where AI is collapsing disciplinary boundaries, having lived fluently in all three has proven to be a rare strategic advantage.
Where all three meet: systems thinking that operates at the level where the most consequential decisions live.
"The most revealing moment is not when people describe what they want — it's when they reveal what they assume."
I came to research through emerging technologies. Early in my career I was asking not whether someone could find a button, but whether an entirely new kind of system matched the mental model people didn't yet know they had. That's a different question — and it requires a different method.
The work I'm most drawn to is 0-to-1. New product categories. New interaction paradigms. Spaces where there's no established benchmark to measure against, because the behavior you're studying doesn't fully exist yet. In those spaces, research has to be generative before it can be evaluative — you're not optimizing a flow, you're mapping a territory.
>> Over a decade of experience in tech
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