Patents by Inventor Callie Bee

Callie Bee 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).

  • Systems and methods for providing similarity-based retrieval of information stored in DNA
    Patent number: 11989216
    Abstract: In some embodiments, techniques are provided for conducting similarity-based searches using DNA. In some embodiments, sets of features that represent stored data sets are encoded in DNA sequences such that a hybridization yield between a molecule having a given stored DNA sequence and a molecule having a reverse complement of a DNA sequence that encodes a set of features that represent a query data set reflects an amount of similarity between the set of features that represent the query data set and the set of features encoded in the given stored DNA sequence. In some embodiments, machine learning techniques are used to determine the DNA sequence encoding. In some embodiments, machine learning techniques are used to predict hybridization yields between DNA molecules.
    Type: Grant
    Filed: April 9, 2020
    Date of Patent: May 21, 2024
    Assignees: University of Washington, Microsoft Technology Licensing, LLC
    Inventors: Luis Ceze, Karin Strauss, Georg Seelig, Callie Bee, Yuan-Jyue Chen
  • SYSTEMS AND METHODS FOR PROVIDING SIMILARITY-BASED RETRIEVAL OF INFORMATION STORED IN DNA
    Publication number: 20220179891
    Abstract: In some embodiments, techniques are provided for conducting similarity-based searches using DNA. In some embodiments, sets of features that represent stored data sets are encoded in DNA sequences such that a hybridization yield between a molecule having a given stored DNA sequence and a molecule having a reverse complement of a DNA sequence that encodes a set of features that represent a query data set reflects an amount of similarity between the set of features that represent the query data set and the set of features encoded in the given stored DNA sequence. In some embodiments, machine learning techniques are used to determine the DNA sequence encoding. In some embodiments, machine learning techniques are used to predict hybridization yields between DNA molecules.
    Type: Application
    Filed: April 9, 2020
    Publication date: June 9, 2022
    Applicants: University of Washington, Microsoft Technology Licensing, LLC
    Inventors: Luis Ceze, Karin Strauss, Georg Seelig, Callie Bee, Yuan-Jyue Chen