Patents by Inventor Amanda Schierz

Amanda Schierz 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: 20230051833
    Abstract: Systems and methods of epidemiological modeling using machine learning are provided, and can include receiving values for an occurrence of the infectious disease during a first time period, generating, from a model trained by a machine learning system, predictions for the occurrence of the infectious disease over a second time period, performing, by a simulator using the predictions, one or more simulations of the occurrence of the infectious disease in one or more geographic regions during one or more time periods subsequent to the second time period, and providing, to a user interface, a first simulation of the one or more simulations performed by the simulator for a first geographic region of the one or more geographic regions during a time period of the one or more time periods.
    Type: Application
    Filed: July 28, 2022
    Publication date: February 16, 2023
    Applicant: DataRobot, Inc.
    Inventors: Jeremy Achin, Michael Schmidt, Mackenzie Heiser, Jona Sassenhagen, Oleg Baranovskiy, Jared Shamwell, Hon Nian Chua, Joao Paulo Gomes, Maxence Jeunesse, Yung Siang Liau, Julian Wergieluk, Jay Cameron Schuren, Mark Steadman, Mohak Saxena, Samuel Clark, Noa Flaherty, Jarred Bultema, Nathan Robert Cameron, Amanda Schierz, Vinay Venkata Wunnava, Xavier Conort, Gregory Michaelson, Anton Suslov, Madeleine Mott, Sergey Yurgenson, Christopher James Monsour, Matthew Joseph Nitzken, Patrick Allen Farrell, Jared Bowns, Dustin Burke, Ievgenii Baliuk, Rishabh Raman
  • Publication number: 20210390455
    Abstract: The subject matter of this disclosure relates to systems and methods for monitoring and managing machine learning models and related data. Histogram structures can be used to aggregate streams of numerical data for storage and metric calculations. Drift in such data can be identified and monitored over time. When significant drift is detected and/or when model accuracy has deteriorated, models can be automatically refreshed with updated training data and/or replaced with one or more other models. A model controller is used to automate model monitoring and management activities across multiple prediction environments where models are deployed and prediction jobs are executed.
    Type: Application
    Filed: June 10, 2021
    Publication date: December 16, 2021
    Inventors: Amanda Schierz, Drew Roselli, Dulcardo Arteaga, Christopher Cozzi, Samuel Clark, John Bledsoe, Mykola Novik, Amar Mudrankit, Lior Amar, Evan Chang, Scott Oglesby, Tristan Robert Spaulding