James Wondrack

I help organizations transform complexity into products people can actually use.

Through customer discovery, product strategy, and cross-functional leadership, I've helped scientists accelerate discovery, teams navigate large-scale transformation, and organizations design AI-enabled experiences people trust.

What experience has taught me

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

91%

reduction in AI-assisted review effort

10–25%

faster scientific discovery

$23M

annual productivity impact

2025

award-winning platform transformation

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

Transforming an 18-Year Legacy Scientific Platform

How do you modernize mission-critical software used by scientists without disrupting the workflows they depend on? By shifting from instrument-centered applications to a workflow-centered enterprise experience, we established a scalable foundation for the future of material scientific research.

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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.

Accelerating Scientific Discovery Through AI-Assisted Materials Informatics

Corning’s researchers were generating vast amounts of experimental and simulation data, but turning that information into actionable insights remained a challenge. Through user research, workflow modeling, and product strategy, I helped define an AI-assisted decision-support platform that enabled scientists to explore complex material relationships, evaluate opportunities, and accelerate discovery.

10–25% faster scientific discovery

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Corning Materials Informatics data visualization

Helping materials scientists navigate complex composition spaces through interactive visualization.

Operationalizing Human-AI Collaboration

As organizations increasingly adopt AI, success depends on balancing efficiency with trust and accountability. We designed an AI-assisted image curation workflow that enabled teams to define how automation participated in decision-making while reducing manual review effort by 91%.

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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.

Observations and frameworks shaped by years of working within complex organizations.