Company Filing History:
Years Active: 2023
Title: Innovations by Melissa Hedberg
Introduction
Melissa Hedberg is an accomplished inventor based in New York, NY (US). She has made significant contributions to the field of technology, particularly in the area of bias monitoring in cohort models. With a total of 2 patents, her work is paving the way for more equitable and effective model assessments.
Latest Patents
Melissa's latest patents include "Systems and methods for automatic bias monitoring of cohort models and un-deployment of biased models." These systems and methods are designed to monitor models for bias effectively. In one implementation, a system for automatically assessing a deployed model for selection of a cohort may include a processing device programmed to apply the deployed model to data representing a first plurality of individuals. The data includes at least one characteristic of the first plurality of individuals. Based on this application, a subset of the first plurality of individuals is selected as a cohort. The system then receives data representing a second plurality of individuals labeled as within the cohort, which also includes at least one characteristic of the second plurality of individuals. The selected subset and the second plurality of individuals are compared along the at least one characteristic. Finally, the system determines whether the comparison results in a difference greater than a threshold.
Career Highlights
Melissa is currently employed at Flatiron Health, Inc., where she continues to innovate and develop new technologies. Her work focuses on improving the accuracy and fairness of data models, which is crucial in today's data-driven world.
Collaborations
Some of her notable coworkers include Benjamin Edward Birnbaum and Joshua Daniel Haimson. Their collaborative efforts contribute to the advancement of technology in healthcare and data analysis.
Conclusion
Melissa Hedberg's contributions to the field of technology through her patents and work at Flatiron Health, Inc. highlight her commitment to innovation and fairness in data modeling. Her efforts are essential in creating more reliable and unbiased systems.
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