Company Filing History:
Years Active: 2023-2024
Title: Emily Dodwell: Innovator in Machine Learning Bias Scoring
Introduction
Emily Dodwell is a prominent inventor based in Jersey City, NJ (US). She has made significant contributions to the field of machine learning, particularly in the area of bias scoring for project data. With a total of 3 patents to her name, her work is paving the way for more equitable and effective machine learning applications.
Latest Patents
One of Emily's latest patents focuses on the bias scoring of machine learning project data. This innovative system and apparatus enable operations that include receiving project data defining a proposed machine learning (ML) project and storing it in a project database alongside other projects. The process involves extracting features of the proposed project and determining a clustering assignment based on these features. By comparing information about the proposed project with other projects, the system assigns it to a cluster that shares similar bias characteristics. Furthermore, it assesses the risk of potential bias for the proposed project and recommends corrective actions to mitigate this risk. This approach utilizes machine learning models for project clustering and bias score determination, ensuring that the system can be updated as new ML projects are evaluated.
Career Highlights
Emily Dodwell is currently employed at AT&T Intellectual Property I, L.P., where she continues to innovate in the field of machine learning. Her work is instrumental in developing systems that enhance the reliability and fairness of machine learning projects.
Collaborations
Emily collaborates with notable colleagues, including Balachander Krishnamurthy and Ritwik Mitra. Their combined expertise contributes to the advancement of technology in their respective fields.
Conclusion
Emily Dodwell is a trailblazer in the realm of machine learning, focusing on bias scoring to improve project outcomes. Her innovative patents and collaborative efforts are making a significant impact in the industry.
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