Menlo Park, CA, United States of America

Tilbe Caglayan

This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tilbe Caglayan. Retrieved from https://idiyas.com/inventor/tilbe-caglayan

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Tilbe Caglayan

Introduction

Tilbe Caglayan is a notable inventor based in Menlo Park, CA. He has made significant contributions to the field of machine learning and performance metrics. His work focuses on developing models that enhance the understanding of how budget allocations impact content performance.

Latest Patents

Caglayan holds a patent for a "Machine-learned model including incrementality estimation." This innovative model is designed to forecast a performance-based metric for a piece of content based on the budget applied to it. The concept of 'incrementality' is central to this model, as it measures the increase in performance due to a corresponding increase in budget. The model employs an asymmetric budget split process to create two groups of training data, allowing for a more accurate comparison of performance results.

Career Highlights

Tilbe Caglayan is currently associated with Microsoft Technology Licensing, LLC. His work at Microsoft has allowed him to explore the intersection of technology and data-driven decision-making. His expertise in machine learning has positioned him as a valuable asset in the tech industry.

Collaborations

Caglayan collaborates with Johannes Hermle, contributing to advancements in their field. Their partnership exemplifies the importance of teamwork in driving innovation.

Conclusion

Tilbe Caglayan's contributions to machine learning and performance metrics highlight his innovative spirit and dedication to advancing technology. His work continues to influence the way content performance is analyzed and optimized.

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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