Hardware & Interfaces

Wearable computing and wrist-based interfaces

Small form factors impose constraints that change everything: power budgets, thermal limits, sensing geometry, user variability, and the gap between prototype performance and production reliability. Working in this space means learning to treat constraints not as obstacles but as the actual design brief.

Physiological Measurement

Health sensing and measurement systems

Continuous physiological measurement is harder than it looks on paper. Sensors perform differently across populations, conditions, and placements. Algorithms trained on lab data often fail in daily life. Making health sensing useful requires rigor across the full stack — hardware, firmware, signal processing, clinical validation, and the honest communication of uncertainty to users.

Edge Intelligence

AI-native hardware and human-computer interaction

AI at the edge is a different discipline from cloud ML. The constraints on compute, memory, power, and latency change what is possible and what must be traded away. I am interested in the intersection of on-device intelligence, physical sensing, and the design of experiences that make the output of these systems legible and trustworthy to real people.

Organizational Design

Engineering operating systems and leadership development

Organizations are systems, and they can be designed well or poorly. Decision frameworks, accountability models, feedback structures, and hiring processes all shape what a team can accomplish over time. The best teams I have been part of worked well because the system was sound — not because of individual heroics.

Interested in collaborating?

I am open to conversations about technology strategy, engineering leadership, and products at the intersection of hardware and human capability. If you are working on something in these areas, I would like to hear about it.

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