One practice,
several kinds of gaps.

Healthcare UX

Clinical information, made usable.

Work at the edge of patient understanding, clinical data, and service trust. The focus is not simplifying healthcare into a softer interface; it is translating source material without removing the care context.

AI Service Products

AI as a translation layer, not a spectacle.

Zero-to-one work where AI helps turn vague human input into structured service context. The design question is trust: when should the product clarify, when should it ask, and when should it return control to the person deciding.

Federal Research Platforms

Shared access for fragmented rules.

Multi-stakeholder product work where researchers, reviewers, agencies, support teams, and data owners need one legible pathway through different requirements and system states.

Design Systems

Infrastructure for product teams.

System work across tokens, components, patterns, documentation, adoption, governance, and AI-readable structure. The goal is a shared product language that keeps design intent and shipped interfaces close together.

Research Infrastructure UX

Workflows that show what the system is doing.

Interfaces for files, uploads, review queues, processing states, and archival workflows. The design challenge is confidence: users need to know what happened, what is still happening, and what they can safely do next.