New York, NY, United States of America

Akshay Goel

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Tempus Ai, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Akshay Goel. Retrieved from https://idiyas.com/inventor/akshay-goel-ch1bt29u

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

Calculating rank
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: Akshay Goel: Innovator in Medical Data Categorization

Introduction

Akshay Goel is a prominent inventor based in New York, NY (US). He has made significant contributions to the field of medical data categorization through his innovative patent. His work focuses on enhancing machine learning capabilities by structuring metadata effectively.

Latest Patents

Akshay Goel holds a patent for a "Graph based metadata structuring algorithm to enable machine learning." This patent describes a system and method for categorizing medical data. The computer system obtains a plurality of medical records in electronic form, each containing corresponding medical data and metadata attributes. The system determines pairwise similarities between medical records based on their attributes, identifying subsets of records connected through these similarities.

Career Highlights

Akshay is currently employed at Tempus AI, Inc., where he applies his expertise in machine learning and data categorization. His innovative approach has the potential to revolutionize how medical data is processed and utilized in healthcare.

Collaborations

He collaborates with notable colleagues, including Jagadish Venkataraman and Jacob William Hunter Gordon. Their combined efforts contribute to advancing the field of medical data analysis.

Conclusion

Akshay Goel's work exemplifies the intersection of technology and healthcare, showcasing the importance of innovation in improving medical data categorization. His contributions are paving the way for more efficient machine learning applications in the medical field.

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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