Pinerolo, Italy

Andrea Bruera

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Sap Se. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Andrea Bruera. Retrieved from https://idiyas.com/inventor/andrea-bruera

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

USPTO Granted Patents = 1 

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: Andrea Bruera: Innovator in Machine Learning Data Generation

Introduction

Andrea Bruera is a talented inventor based in Pinerolo, Italy. She has made significant contributions to the field of machine learning, particularly in generating user-based training data. Her innovative approach focuses on preserving the statistical properties of original data while ensuring strong privacy guarantees.

Latest Patents

Andrea holds a patent for "Generating user-based training data for machine learning." This invention provides a machine learning-based solution for generating synthetic CVs that maintain the statistical characteristics of the original corpus. The synthetic data generated does not refer to any natural person and can be created from anonymized data, thus avoiding data protection regulations.

Career Highlights

Andrea is currently employed at SAP SE, where she applies her expertise in machine learning and data privacy. Her work is instrumental in advancing the capabilities of machine learning applications in various industries.

Collaborations

Andrea collaborates with notable colleagues, including Francesco Alda and Francesco Di Cerbo, who contribute to her innovative projects and research endeavors.

Conclusion

Andrea Bruera is a pioneering inventor whose work in machine learning data generation is shaping the future of technology while prioritizing user privacy. Her contributions are vital in the ongoing evolution of data-driven solutions.

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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