Austin, TX, United States of America

Lydia Guarino


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Lydia Guarino: Innovator in Data Science

Introduction

Lydia Guarino is a prominent inventor based in Austin, TX (US). She has made significant contributions to the field of data science and data analysis. Her innovative work focuses on developing advanced computing platforms that enhance the understanding and utilization of data.

Latest Patents

Lydia holds a patent for "Generating and analyzing a data model to identify relevant data catalog data derived from graph-based data arrangements to perform an action." This patent encompasses various embodiments related to data science, computer software, and data-driven control systems. The invention aims to create a computing platform that can analyze datasets to implement a data model, identifying relevant data catalog data derived from graph-based data arrangements. The processor is configured to execute programmatic instructions based on this relevant data, ultimately generating a concept interface portion adapted to an associated concept.

Career Highlights

Lydia is currently employed at Data.world, Inc., where she continues to push the boundaries of data science. Her work involves identifying attributes associated with data values linked to conceptual entities and determining criteria data for targeted applications. This innovative approach allows for the extraction of data from graph data arrangements based on specific attributes.

Collaborations

Lydia collaborates with notable colleagues such as Tim Gasper and Juan Federico Sequeda. Their combined expertise contributes to the advancement of data science and the development of innovative solutions in the field.

Conclusion

Lydia Guarino is a trailblazer in the realm of data science, with her patent and work at Data.world, Inc. showcasing her commitment to innovation. Her contributions are shaping the future of data analysis and control systems.

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