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.
Intelligence emerges from the interaction of mathematics, systems, feedback, learning, and adaptation.
Independent advisory and published AI insights through MindLoopAI — helping executive teams think clearly about AI strategy, governance, and capability.
Invited talks on AI strategy, decision systems, and machine learning.
Research interests in graph theory, quantum ML, cognitive science, and applied machine learning.