I work at the intersection of human-centered design, research, and systems thinking—often in healthcare, government, cybersecurity, and AI-enabled platforms. My focus is building tools that support learning, sound decision-making, and long-term trust under uncertainty.
How I Work
I approach design as a process of reducing uncertainty without flattening expertise. My work emphasizes understanding real decision contexts, surfacing what’s unknown, and designing systems that support judgment rather than replace it. → Read about how I work
Roles I’m Exploring
I’m currently open to senior and lead roles across UX design, research, human factors, accessibility, analysis, and AI-enabled systems—particularly where usability, accessibility, and decision quality matter.
→ View roles and areas of focus
Selected Work / Evidence
The examples below offer a small cross-section of my work applying these principles in practice. They span healthcare, government, cybersecurity, and enterprise systems, and reflect different stages of engagement—from early research and system modeling to usability engineering, accessibility, and design strategy. Each example highlights how design decisions shape judgment, learning, and trust in real-world contexts.
- Decision-support design in healthcare systems
Led decision-support design for VHA HIT modernization, translating human-factors research into multi-perspective clinical journeys and a reusable knowledge system to support judgment, coordination, and future-state planning. - Accessibility and usability engineering in government platforms
Led strategy, accessibility and usability engineering for the modernization of ClinicalTrials.gov, shaping stakeholder engagement, regulatory workflows, and system design for a national research platform serving millions of users. - Human-AI interaction in enterprise tools
Led sustained alert-fatigue reduction and decision-support design for VMware Carbon Black, improving triage, collaboration, and human–AI alignment for SOC teams operating under pressure.
Writing & Ongoing Work
I am completing Book 1 in a two-book series on designing AI systems that preserve human judgment, learning, and expertise under automation. The first volume examines how decision-support tools, automation, and AI-enabled workflows reshape how people think, defer, and learn over time—and how design choices can either erode or strengthen human capability in high-consequence environments.
I also publish essays on AI, cognition, and design practice on Substack at AI for Augmented Intelligence
→ About Book 1
→AboutBook 2
→ Publications
→ Substack
The first volume focuses on how automation, decision-support tools, and AI-enabled workflows influence how people think, defer, trust, and learn over time. Rather than emphasizing model capability, it examines impact: cognitive offloading, false certainty, skill decay, and the displacement of human judgment through design.
I→ Publications
→ The book
→ Substack
If you’re working on systems where decisions carry consequence, I’m always open to conversations or introductions.
Human-Centered Design 