Brooklyn, NY, United States of America

Peter Daniel Larson


Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023

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2 patents (USPTO):Explore Patents

Title: Innovations by Peter Daniel Larson

Introduction

Peter Daniel Larson is an accomplished inventor based in Brooklyn, NY. He has made significant contributions to the field of technology, particularly in the area of bias monitoring in models. With a total of 2 patents, Larson's work is at the forefront of ensuring fairness and accuracy in data-driven systems.

Latest Patents

Larson's latest patents include innovative systems and methods for automatic bias monitoring of cohort models and the un-deployment of biased models. These systems are designed to monitor models for bias effectively. In one implementation, a processing device is programmed to apply a deployed model to data representing a first plurality of individuals, which includes at least one characteristic of these individuals. Based on this application, a subset of individuals is selected as a cohort. The system then receives data representing a second plurality of individuals labeled as within the cohort and compares the selected subset with this second group along the same characteristic. The system determines whether the comparison results in a significant difference, exceeding a predetermined threshold.

Career Highlights

Peter Daniel Larson is currently employed at Flatiron Health, Inc., where he continues to develop innovative solutions in healthcare technology. His work focuses on improving the accuracy and fairness of models used in various applications.

Collaborations

Some of Larson's notable coworkers include Benjamin Edward Birnbaum and Joshua Daniel Haimson. Their collaborative efforts contribute to the advancement of technology in their field.

Conclusion

Peter Daniel Larson's contributions to innovation and technology are noteworthy, particularly in the realm of bias monitoring in models. His patents reflect a commitment to enhancing the integrity of data-driven systems.

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