London, United Kingdom

Elena Haddad

This inventor holds 1 USPTO granted patent. Top assignee: Palantir Technologies Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Elena Haddad. Retrieved from https://idiyas.com/inventor/elena-haddad

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

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Elena Haddad - Innovator in Geospatial Data Analysis

Introduction

Elena Haddad is a prominent inventor based in London, GB. She has made significant contributions to the field of machine learning and geospatial data analysis. Her innovative work focuses on enhancing site prospecting through advanced methodologies.

Latest Patents

Elena holds 1 patent for her invention titled "Machine learning and language model-assisted geospatial data analysis and visualization." This patent outlines methods and systems for site prospecting, which include operations such as receiving a site request indicating a required use for a site, generating capacity scores for various land parcels using a machine learning model, and filtering these parcels based on their scores. Additionally, for selected land parcels, her invention generates potential descriptions and scores using language models and machine learning techniques.

Career Highlights

Elena is currently employed at Palantir Technologies Inc., where she applies her expertise in machine learning and data analysis. Her work has been instrumental in developing innovative solutions that leverage technology for better decision-making in site selection and land use.

Collaborations

Elena collaborates with talented individuals such as Nikhil Nainani and Gabriel Seite, contributing to a dynamic team focused on pushing the boundaries of geospatial data analysis.

Conclusion

Elena Haddad's contributions to machine learning and geospatial data analysis exemplify her innovative spirit and dedication to advancing technology. Her work continues to influence the field and inspire future innovations.

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]
Loading…