San Nicolas, Mexico

Christopher R Stephens

This inventor holds 1 USPTO granted patent. Top assignee: Adaptive Technologies Inc.. Active years: 2012.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Christopher R Stephens. Retrieved from https://idiyas.com/inventor/christopher-r-stephens

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

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2012

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Christopher R. Stephens

Introduction

Christopher R. Stephens is a notable inventor based in San Nicolas, Mexico. He has made significant contributions to the field of data analysis through his innovative patent. His work focuses on developing methods and apparatus that enhance the understanding of financial data.

Latest Patents

Christopher R. Stephens holds a patent for "Methods and apparatus for self-adaptive, learning data analysis." This invention includes a predictive modeling system that utilizes an artificial agent responsive to an input data set. The system is designed to produce an estimated data set that encompasses market conditions, including liquidity, counterparty strategies, and the effects of information leakage. The artificial agent also determines a predictability value for the estimated data set, showcasing its advanced analytical capabilities.

Career Highlights

Throughout his career, Christopher has been associated with Adaptive Technologies Inc., where he applies his expertise in data analysis and predictive modeling. His work at the company emphasizes the importance of innovative solutions in understanding complex financial environments.

Collaborations

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Conclusion

Christopher R. Stephens exemplifies the spirit of innovation in the field of data analysis. His contributions through his patent reflect a deep understanding of financial systems and the potential of artificial intelligence in predictive modeling.

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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