Patents by Inventor Jack Sullivan

Jack Sullivan 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).

  • Publication number: 20240132868
    Abstract: The invention features polynucleotides that encode bases editors having a heterologous intron for self-inactivation, compositions comprising such polynucleotides, and methods of inactivating a base editor encoded by such polynucleotides.
    Type: Application
    Filed: November 27, 2023
    Publication date: April 25, 2024
    Applicant: Beam Therapeutics Inc.
    Inventors: David BRYSON, Jack SULLIVAN
  • Patent number: 11886509
    Abstract: Systems and methods are configured for predictive prompt generation for an interaction between a party and an automated prompt system. In various embodiments, metadata is received on the interaction and provided as input to a multi-label predictive model to generate interaction probabilities for a plurality of prompt information data objects. Each probability generated by the predictive model provides a likelihood a particular information data object needs to be provided to the first party during the interaction. Accordingly, one or more of the prompt information data objects are identified based on the probability of each piece found in the one or more prompt information data objects that satisfy a set threshold and one or more notifications are provided so that the automated prompt system provides at least one of the prompt information data objects to the first party during the interaction.
    Type: Grant
    Filed: August 9, 2022
    Date of Patent: January 30, 2024
    Assignee: OPTUM SERVICES (IRELAND) LIMITED
    Inventors: Gregory Buckley, Jack Sullivan, Damian Kelly, Mariah Sonja Pereira Penha, Bruno Ohana
  • Patent number: 11736610
    Abstract: There is a need for faster and more accurate predictive data analysis steps/operations. This need can be addressed by, for example, techniques for efficient predictive data analysis steps/operations. In one example, a computer-implemented method for generating a predictive output with respect to a primary audio data embedding data object associated with a primary audio data object, is provided. The method includes generating, using one or more computer processors, by utilizing a similarity determination machine learning model and based at least in part on the primary audio data embedding data object, the predictive output for the primary audio data embedding data object; generating, by the one or more computer processors, a forwarding recommendation prediction based at least in part on the predictive output; and performing, by the one or more computer processors, one or more prediction-based actions based at least in part on the forwarding recommendation prediction.
    Type: Grant
    Filed: September 28, 2021
    Date of Patent: August 22, 2023
    Assignee: Optum, Inc.
    Inventors: Gregory Buckley, Damian Kelly, Mariah Sonja Pereira Penha, Jack Sullivan, Bruno Ohana
  • Publication number: 20230153356
    Abstract: Systems and methods are configured for predictive prompt generation for an interaction between a party and an automated prompt system. In various embodiments, metadata is received on the interaction and provided as input to a multi-label predictive model to generate interaction probabilities for a plurality of prompt information data objects. Each probability generated by the predictive model provides a likelihood a particular information data object needs to be provided to the first party during the interaction. Accordingly, one or more of the prompt information data objects are identified based on the probability of each piece found in the one or more prompt information data objects that satisfy a set threshold and one or more notifications are provided so that the automated prompt system provides at least one of the prompt information data objects to the first party during the interaction.
    Type: Application
    Filed: August 9, 2022
    Publication date: May 18, 2023
    Inventors: Gregory Buckley, Jack Sullivan, Damian Kelly, Mariah Sonja Pereira Penha, Bruno Ohana
  • Patent number: 11647115
    Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, and/or computing entities for processing a call drop likelihood prediction for an interactive call data object.
    Type: Grant
    Filed: January 25, 2021
    Date of Patent: May 9, 2023
    Assignee: OPTUM SERVICES (IRELAND) LIMITED
    Inventors: Mariah Sonja Pereira Penha, Damian Kelly, Gregory Buckley, Jack Sullivan, Bruno Ohana
  • Publication number: 20230094583
    Abstract: There is a need for faster and more accurate predictive data analysis steps/operations. This need can be addressed by, for example, techniques for efficient predictive data analysis steps/operations. In one example, a computer-implemented method for generating a predictive output with respect to a primary audio data embedding data object associated with a primary audio data object, is provided. The method includes generating, using one or more computer processors, by utilizing a similarity determination machine learning model and based at least in part on the primary audio data embedding data object, the predictive output for the primary audio data embedding data object; generating, by the one or more computer processors, a forwarding recommendation prediction based at least in part on the predictive output; and performing, by the one or more computer processors, one or more prediction-based actions based at least in part on the forwarding recommendation prediction.
    Type: Application
    Filed: September 28, 2021
    Publication date: March 30, 2023
    Inventors: Gregory Buckley, Damian Kelly, Mariah Sonja Pereira Penha, Jack Sullivan, Bruno Ohana
  • Patent number: 11455340
    Abstract: Systems and methods are configured for predictive prompt generation for an interaction between a party and an automated prompt system. In various embodiments, metadata is received on the interaction and provided as input to a multi-label predictive model to generate interaction probabilities for a plurality of prompt information data objects. Each probability generated by the predictive model provides a likelihood a particular information data object needs to be provided to the first party during the interaction. Accordingly, one or more of the prompt information data objects are identified based on the probability of each piece found in the one or more prompt information data objects that satisfy a set threshold and one or more notifications are provided so that the automated prompt system provides at least one of the prompt information data objects to the first party during the interaction.
    Type: Grant
    Filed: June 25, 2020
    Date of Patent: September 27, 2022
    Assignee: OPTUM SERVICES (IRELAND) LIMITED
    Inventors: Gregory Buckley, Jack Sullivan, Damian Kelly, Mariah Sonja Pereira Penha, Bruno Ohana
  • Publication number: 20220239775
    Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, and/or computing entities for processing a call drop likelihood prediction for an interactive call data object.
    Type: Application
    Filed: January 25, 2021
    Publication date: July 28, 2022
    Inventors: Mariah Sonja Pereira Penha, Damian Kelly, Gregory Buckley, Jack Sullivan, Bruno Ohana
  • Publication number: 20210406316
    Abstract: Systems and methods are configured for predictive prompt generation for an interaction between a party and an automated prompt system. In various embodiments, metadata is received on the interaction and provided as input to a multi-label predictive model to generate interaction probabilities for a plurality of prompt information data objects. Each probability generated by the predictive model provides a likelihood a particular information data object needs to be provided to the first party during the interaction. Accordingly, one or more of the prompt information data objects are identified based on the probability of each piece found in the one or more prompt information data objects that satisfy a set threshold and one or more notifications are provided so that the automated prompt system provides at least one of the prompt information data objects to the first party during the interaction.
    Type: Application
    Filed: June 25, 2020
    Publication date: December 30, 2021
    Inventors: Gregory Buckley, Jack Sullivan, Damian Kelly, Mariah Sonja Pereira Penha, Bruno Ohana
  • Patent number: D323041
    Type: Grant
    Filed: January 12, 1990
    Date of Patent: January 7, 1992
    Assignee: Helen of Troy Corporation
    Inventors: James G. Montagnino, Richard Gibson, Daniel Santhouse, James Weber, Jack Sullivan, George Schmidt