Location History:
- Orem, UT (US) (2019)
- Provo, UT (US) (2021)
Company Filing History:
Years Active: 2019-2025
Title: Inventor Profile: Eugene Greenwood
Introduction
Eugene Greenwood is an innovative inventor based in Provo, UT, with a notable contribution to the field of genealogical data processing. With two patents to his name, his work focuses on leveraging machine learning to enhance the identification of individuals within genealogical databases.
Latest Patents
Eugene's recent patents include a "Machine-learning system and method for identifying the same person in genealogical databases," which provides systems and methods for determining whether two entries in a genealogical database correspond to the same individual. This invention involves identifying two persons in a genealogy database and extracting multiple features to generate vectors. By calculating metrics between these vectors, the system generates a score that can subsequently be compared to a threshold value.
His second patent, "System and method for determining that two data records relate to the same subject," focuses on developing person match scores within a data record management system. This involves evaluating not just two records, but also multiple entries that may refer to the same individual through a family tree structure. It innovatively adjusts scores based on relationships, including conditions like remarriages, thus improving the accuracy of genealogical data assessments.
Career Highlights
Eugene Greenwood's professional efforts are significantly tied to his work at Ancestry.com Operations Inc., a prominent company in the genealogical and historical research space. His inventions contribute to more efficient data handling and analysis, positioning the company as a leader in utilizing advanced technology for genealogical research.
Collaborations
Throughout his career, Eugene has collaborated with industry professionals such as Rey Furner and Ian James Stiles. Their combined expertise enhances the innovative processes within the organization, facilitating advancements in capabilities related to genealogical database management.
Conclusion
Eugene Greenwood has made valuable strides in the intersection of machine learning and genealogical research. His patents embody significant advancements that enhance the determination of individual identities within complex data systems, thereby aiding genealogists and researchers worldwide. With a strong foundation at Ancestry.com Operations Inc. and collaborative efforts with experienced colleagues, Eugene continues to explore and develop innovations that further the understanding and utility of genealogical data.