Corvallis, OR, United States of America

Andrew John Woodill

This inventor holds 1 USPTO granted patent. Top assignee: Oregon State University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Andrew John Woodill. Retrieved from https://idiyas.com/inventor/andrew-john-woodill

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Andrew John Woodill and Operational Forecasting

Introduction

Andrew John Woodill is an inventor associated with Oregon State University in Corvallis, Oregon. His patent work focuses on forecasting events in complex systems by identifying early warning signs in the behavior of observable actors.

Latest Patents

Woodill is credited with 1 patent: “Operational forecasting system based on anomalous behaviors in complex systems.” The invention describes a general-purpose approach to detecting and predicting the actions of invisible actors and addressing the challenges of intervention and prevention.

The system analyzes data from complex systems and looks for anomalous behaviors among observed actors. These behaviors may reflect how observable actors respond to unobserved actors that are driving systemic change. By using these signals, the system aims to forecast when an event will occur before it happens.

Career Highlights

Woodill’s patent connects operational forecasting with the analysis of complex systems. Its approach seeks to identify the “murmuration”—the observable patterns that can signal perturbations caused by otherwise invisible actors.

Collaborations

Woodill’s listed coworkers include James R. Watson and Maria Kavanaugh. His association with Oregon State University provides an institutional context for his work.

Conclusion

Andrew John Woodill’s patented forecasting system aims to anticipate events in complex systems by interpreting anomalous behavior as an early warning of underlying change.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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