Product design and human factors, from medical devices to products used by millions
I find the hard problem in regulated medical devices, enterprise AI, and spatial research, then design for the case where a mistake is a consequential event, not a missed click
Previously:
The problem first. Full case studies on request.
Designing for scale and data density. Millions of users, thousands of enterprise applications.
Designing hardware and software together, under real constraints, in regulated surgical environments.
Designing in ambiguity, before the patterns exist.
Measuring how people actually perceive and behave, then designing from the evidence.
Peer-reviewed research
The research habit behind the work: ten peer-reviewed studies on design, perception, and user experience.
Journal of Product & Brand Management · 2020 · 59 citations
Proceedings of the Design Society (ICED) · 2019 · 22 citations
The Design Journal · 2019 · 16 citations
Product Design · Human Factors
I look for the problem first. The place where getting it wrong has a real cost, and I design for that case, not the happy path.
I started in industrial product design, where a bad decision ships in metal and plastic and can’t be patched later. That’s still how I think about software, including the years I spent designing for Google Cloud AI.
Before Google, I spent four years as a tenure-track Assistant Professor of Product Design at the University of Minnesota. The research habits stuck: I hold a Ph.D. from the University of Missouri-Columbia, my work on perception and presence is peer-reviewed, and I’m comfortable inside the rigor that regulated medical-device design demands.
Before the regulated systems and enterprise platforms, there was the bench: several years of industrial design, prototyping, and research craft. It’s the foundation the rest is built on.
Open to good problems and good people. Let’s talk.
