Index → About

The person behind
the work.

FIG. 01 Portrait of Seneca Widvey
Portrait
— assets/portrait.jpg —
SW / 2026

Math first.
Built to move.

I'm Seneca Widvey — an AI executive, researcher, and builder working where mathematics, systems, and machine intelligence meet.

My background spans artificial intelligence, mathematics, statistics, psychology, forecasting, and machine learning — four degrees' worth, including graduate work at Johns Hopkins and Georgetown. The common thread is decision-making: how organizations interpret signals, evaluate uncertainty, and turn technical capability into systems they can actually run.

I lead end-to-end data science initiatives. In my free time I publish AI insights and advise executive teams on AI strategy through MindLoopAI. I believe education should be fun, and through CognitiveMLStudio I write and teach the mathematical and cognitive foundations of AI. Leading, advising, and teaching all feed the same practice: turning deep technical work into decisions organizations can trust.

Based in Denver, Colorado — working globally. Open to executive AI engagements, research collaboration, and speaking.

Mathematics ML / AI Cognitive Science Forecasting Decision Systems Executive Leadership
Point of View
Intelligence emerges from the interaction of mathematics, systems, feedback, learning, and adaptation.
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Degrees across AI, math & psych
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Professional certifications
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Society memberships
Education
01MS Artificial IntelligenceJohns Hopkins University · In Progress
02MS Mathematics & StatisticsGeorgetown University
03BA MathematicsMSU Denver
04BA PsychologyMSU Denver
PMP · PSPO · PSM · Agile ICP · TensorFlow Developer Professional · PMP · PSPO · PSM · Agile ICP · TensorFlow Developer Professional · PMP · PSPO · PSM · Agile ICP · TensorFlow Developer Professional · PMP · PSPO · PSM · Agile ICP · TensorFlow Developer Professional ·
Open To
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AI Advisory

Independent advisory and published AI insights through MindLoopAI — helping executive teams think clearly about AI strategy, governance, and capability.

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Speaking & Panels

Invited talks on AI strategy, decision systems, and machine learning.

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Research Collaboration

Research interests in graph theory, quantum ML, cognitive science, and applied machine learning.