Cognitive load is a safety issue
In clinical environments, overloaded practitioners don't just make poor design choices — they make errors. Every design decision starts by asking: what cognitive resources does this system demand, and at what cost?
Principal UX Designer
Specialised in
Cognitive systems design for healthtech and medtech
I work at the intersection of cognitive neuroscience, human-computer interaction, and healthcare technology — helping teams design systems that fit how clinicians and patients actually think, decide, and act under pressure.
Clinical technology fails
when people can't trust it.
I design for that.
How I think
Designing for AI adoption isn't a UX problem — it's a cognitive systems problem
These are the principles I apply to every project.
Trust in AI is not binary
Clinicians don't trust or distrust a system — they calibrate trust continuously based on outputs, failures, and context. When that calibration breaks — through automation bias or opacity — adoption collapses. I design systems that support appropriate trust, not unconditional reliance.
Explainability is a workflow problem, not a UI feature
An AI explanation that appears at the wrong moment, in the wrong format, or in the wrong level of detail is no explanation at all. Explainability only works when it maps to how clinicians actually reason under time pressure.
Adoption failures are predictable
Most AI systems that fail in deployment were never evaluated for how they fit into real cognitive workflows. I use cognitive task analysis, mental model mapping, and human factors methods to identify adoption risks before they become live failures.
Human oversight is a design requirement
As AI autonomy increases, preserving meaningful human oversight isn't a compliance checkbox — it's a core design constraint. I design for environments where the human must remain in control, even when the AI is more accurate.
News
Speaking, publications, and new writing
Recent activity across research, practice, and public engagement.
TypeActivity
Let's talk
Open to collaboration, speaking, and mentoring
I take on selected mentoring relationships, writing collaborations, and speaking invitations where there is a genuine fit.
Mentoring
For new and current UX designers or researchers looking to expand their expertise, prepare for interviews, or plan next steps into healthcare UX.
Guest writing
Open to writing on topics I care about — cognitive systems, AI adoption, and healthcare UX — as a solo piece, guest contribution, or co-written with your team.
Public speaking
Presentation of research and personal insights on AI in healthcare, digital health, UX methodology, tech adoption, and design for XR.