Product and design leadership for complex systems.

I help organizations turn complexity — technical, organizational, and human — into products people can understand, adopt, and trust. My work spans product strategy, design leadership, human-AI workflow design, and cross-functional alignment across enterprise software, scientific platforms, and AI tools.

What experience has taught me

  • Simplicity is the process of managing complexity.
  • Curiosity should precede certainty.
  • Humans decide whether technology succeeds.
  • Successful products adapt to people, not the other way around.

How I work

  • Discovery and problem framing

    Defining what to build, and why, before solution design begins

  • Human-AI workflow design

    Translating technical capability into experiences professionals can trust, adjust, and control

  • Cross-functional alignment

    Bridging product, engineering, data science, and business stakeholders around a shared direction

  • Outcome-oriented strategy

    Using design to improve product decisions, customer outcomes, and business results.

91%

reduction in AI-assisted review effort

10–25%

faster scientific discovery

$23M

annual productivity impact

2025

award-winning platform transformation

Selected Work

Real-world examples of defining products, aligning stakeholders, and improving outcomes.

Transforming a Mission-Critical Scientific Platform

Reimagined an 18-year legacy platform for materials scientists, introducing workflow-centered architecture that shifted the product beyond instrument-centric design and established a scalable foundation adopted across engineering teams.

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TA Instruments information architecture

My role: Defined the workflow architecture that reoriented the platform around scientists' research processes, establishing a shared framework for modernization efforts across teams.

AI-Assisted Decision Support for Materials Research

Defined product strategy and design for an AI-assisted informatics platform that helped scientists navigate complex material composition spaces and accelerate discovery. Bridged advanced ML capability and research workflow to create a tool scientists could trust and act on.

10–25% faster scientific discovery

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Corning Materials Informatics data visualization

Helping materials scientists navigate complex composition spaces through interactive visualization.

Designing the Human Layer in an AI Workflow

Led product vision and design strategy for a professional curation platform that orchestrated 30+ ML algorithms into a calibration-driven workflow. Reduced review time from 18.5 hours to under one hour — not by automating photographer judgment, but by making AI recommendations legible, adjustable, and trustworthy.

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Curator AI photo curation workflow

From 30+ Algorithms to One Curator Experience
Designed the orchestration layer that transformed machine learning outputs into a curator-controlled workflow, reducing review time from 18.5 hours to roughly one hour.

Perspectives

These articles diagnose the organizational patterns that most reliably limit product and design impact — and describe how to address them. They reflect the same approach I bring to practice: understanding why a system produces its current results before trying to change it.