Jersey City, NJ, United States of America

Jing Xu

USPTO Granted Patents = 9 

Average Co-Inventor Count = 8.0

ph-index = 8

Forward Citations = 541(Granted Patents)


Location History:

  • Springfield, NJ (US) (2013)
  • Jersey City, NJ (US) (2018 - 2024)

Company Filing History:


Years Active: 2013-2024

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9 patents (USPTO):Explore Patents

Title: Innovations of Jing Xu in Genetic Data Analysis

Introduction

Jing Xu is a prominent inventor based in Jersey City, NJ (US), known for his significant contributions to the field of genetic data analysis. With a total of 9 patents to his name, Xu has developed innovative systems and methods that enhance the fidelity of genetic data measurement.

Latest Patents

One of Jing Xu's latest patents is a system and method for cleaning noisy genetic data and determining chromosome copy number. This invention aims to increase the accuracy of measured genetic data, facilitating allele calls and determining the state of aneuploidy in a small set of cells or from fragmentary DNA. The method reconstructs poorly or incorrectly measured base pairs, missing alleles, and regions by leveraging expected similarities between the target genome and that of genetically related individuals. In one embodiment, incomplete genetic data from an embryonic cell is reconstructed using more complete genetic data from a larger sample of diploid cells from one or both parents. Additionally, the chromosome copy number can be determined from the measured genetic data, with or without genetic information from one or both parents.

Career Highlights

Jing Xu is currently employed at Natera, Inc., where he continues to push the boundaries of genetic research and data analysis. His work has been instrumental in developing technologies that improve genetic testing and diagnostics.

Collaborations

Throughout his career, Xu has collaborated with notable colleagues, including Matthew Rabinowitz and Milena Banjevic, who have contributed to the advancement of genetic data technologies.

Conclusion

Jing Xu's innovative work in genetic data analysis has made a significant impact on the field, showcasing his expertise and dedication to improving genetic testing methodologies. His contributions continue to pave the way for advancements in genetic research and diagnostics.

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