Patents by Inventor John Joo

John Joo 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: 12608352
    Abstract: In a general aspect, injecting synthetic anomalies into data is described. In some embodiments, a system identifies a base data set stored in a remote database system and a set of synthetic anomaly injection operations to apply to portions of the base data set. The system submits a set of instructions that are configured to cause the remote database system to perform operations including: creating one or more entries in a lookup table and rerouting received queries attempting to access the one or more portions of the base data set to instead access modified base data while the one or more entries are active. The system causes the remote database system to inactivate the one or more entries in the lookup table such that the remote database system ceases rerouting received queries.
    Type: Grant
    Filed: September 27, 2024
    Date of Patent: April 21, 2026
    Assignee: Anomalo, Inc.
    Inventors: Jeremy Stanley, Viktoriya Andonova, John Joo, Jason Kozemczak, Elliot Shmukler
  • Publication number: 20250328505
    Abstract: In a general aspect, benchmarking for data quality monitoring is described. In some embodiments, a system identifies a base data set to be used as input to a machine learning (ML) model. The system generates a modified base data set by causing synthetic anomaly injection operations to be performed on data of the base data set. The system causes the ML model to run, using the base data set as input, to determine a first output of the ML model, and to run, using the modified base data set as input, to determine a second output of the ML model. The system determines a set of performance metrics representing performance of the ML model at detecting data anomalies and outputs a representation of the set of performance metrics.
    Type: Application
    Filed: September 27, 2024
    Publication date: October 23, 2025
    Applicant: Anomalo, Inc.
    Inventors: Jeremy Stanley, Viktoriya Andonova, John Joo, Jason Kozemczak, Elliot Shmukler
  • Publication number: 20250328506
    Abstract: In a general aspect, injecting synthetic anomalies into data is described. In some embodiments, a system identifies a base data set stored in a remote database system and a set of synthetic anomaly injection operations to apply to portions of the base data set. The system submits a set of instructions that are configured to cause the remote database system to perform operations including: creating one or more entries in a lookup table and rerouting received queries attempting to access the one or more portions of the base data set to instead access modified base data while the one or more entries are active. The system causes the remote database system to inactivate the one or more entries in the lookup table such that the remote database system ceases rerouting received queries.
    Type: Application
    Filed: September 27, 2024
    Publication date: October 23, 2025
    Applicant: Anomalo, Inc.
    Inventors: Jeremy Stanley, Viktoriya Andonova, John Joo, Jason Kozemczak, Elliot Shmukler