Patents by Inventor Katherine Sebastian

Katherine Sebastian has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10636097
    Abstract: Systems and methods are provided that allow for generating and applying an improved predictive data model that aggregates two or more models performed sequentially, for the purposes of improving the prediction of overall profitability of individuals or households in a population. The models may be generated by the processing of customer profitability data and third-party population data together. One of the two aggregated models may be an inherently probabilistic, binary model tasked with determining whether an individual is a high-loss individual and using that result to improve the predictive capability of the system.
    Type: Grant
    Filed: July 15, 2016
    Date of Patent: April 28, 2020
    Assignee: Palantir Technologies Inc.
    Inventors: Jeremy Elser, Sebastian Caliri, Katherine Sebastian, Dustin Janatpour
  • Publication number: 20170024824
    Abstract: Systems and methods are provided that allow for generating and applying an improved predictive data model that aggregates two or more models performed sequentially, for the purposes of improving the prediction of overall profitability of individuals or households in a population. The models may be generated by the processing of customer profitability data and third-party population data together. One of the two aggregated models may be an inherently probabilistic, binary model tasked with determining whether an individual is a high-loss individual and using that result to improve the predictive capability of the system.
    Type: Application
    Filed: July 15, 2016
    Publication date: January 26, 2017
    Inventors: Jeremy Elser, Sebastian Caliri, Katherine Sebastian, Dustin Janatpour
  • Patent number: 9418337
    Abstract: Systems and methods are provided that allow for generating and applying an improved predictive data model that aggregates two or more models performed sequentially, for the purposes of improving the prediction of overall profitability of individuals or households in a population. The models may be generated by the processing of customer profitability data and third-party population data together. One of the two aggregated models may be an inherently probabilistic, binary model tasked with determining whether an individual is a high-loss individual and using that result to improve the predictive capability of the system.
    Type: Grant
    Filed: July 21, 2015
    Date of Patent: August 16, 2016
    Assignee: Palantir Technologies Inc.
    Inventors: Jeremy Elser, Sebastian Caliri, Katherine Sebastian, Dustin Janatpour