San Francisco, CA, United States of America

Peter Carbonetto

USPTO Granted Patents = 3 

 

Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 15(Granted Patents)


Company Filing History:


Years Active: 2018-2022

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3 patents (USPTO):Explore Patents

Title: Innovations of Peter Carbonetto

Introduction

Peter Carbonetto is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of population genetics through his innovative techniques. With a total of three patents to his name, Carbonetto's work has the potential to impact various applications in genetic research and community identification.

Latest Patents

One of Peter Carbonetto's latest patents focuses on discovering population structure from patterns of identity-by-descent (IBD). This patent describes techniques for determining population structure based on IBD among individuals. The methods can predict an individual's membership in one or more communities identified within an IBD network. Additionally, the techniques allow for the annotation of communities with information such as birth location, surname, and ethnicity. This data can then be used to provide individuals with predictions of their community memberships, along with summaries of the information associated with those communities.

Career Highlights

Peter Carbonetto is currently employed at Ancestry.com DNA, LLC, where he continues to develop and refine his innovative techniques. His work at Ancestry.com allows him to collaborate with other experts in the field, further enhancing the impact of his inventions.

Collaborations

Some of Peter Carbonetto's coworkers include Eunjung Han and Ross E. Curtis. Their collaborative efforts contribute to the advancement of research in population genetics and community identification.

Conclusion

Peter Carbonetto's contributions to the field of population genetics through his innovative patents demonstrate his commitment to advancing scientific knowledge. His work has the potential to significantly influence how communities are understood and identified based on genetic data.

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