In an era where AI is collapsing disciplinary boundaries, having lived fluently in all three has proven to be a rare strategic advantage.
Built production software before studying the humans navigating it. Understands systems from the inside — which changes the questions you ask.
A decade leading foundational and strategic research — from HCI labs to Meta scale. Studies human behavior, not just user behavior.
Practiced UX design across healthcare, logistics, and social platforms. Bridges insight and artifact — knows what it costs to ship a wrong assumption.
Where all three meet: systems thinking that operates at the level where the most consequential decisions live.
Most researchers choose one lane. The rarest — and most useful — are the ones who have earned fluency in all three and can translate across them in real time.
"The most revealing moment is not when people describe what they want — it's when they reveal what they assume."
My background is unusual in this field. A computer engineering foundation. A graduate focus in human-computer interaction. Years of design practice. Then a decade of research across healthcare, enterprise logistics, and the metaverse. That combination means I operate across layers that most people choose between: technical, behavioral, strategic, cultural.
I came to research through emerging technologies, not traditional usability. The problems I was drawn to were never about whether someone could find a button. They were about whether a system matched the mental model people brought to it — and whether, if it didn't, we had designed a bridge or just a cliff.
Across Healthcare, logistics, and Meta — the through-line has always been the same: understand what people are really navigating beneath the surface complaint, and build the kind of shared organizational understanding that makes the right decision feel obvious to everyone in the room.
Research, at its best, doesn't tell you what to build. It tells you what you're actually choosing between.
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