Chapel Hill, NC, United States of America

Masha Kazantseva


Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2021-2024

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2 patents (USPTO):Explore Patents

Title: Masha Kazantseva: Innovator in Machine Learning and Data Optimization

Introduction

Masha Kazantseva is a prominent inventor based in Chapel Hill, NC (US). She has made significant contributions to the field of machine learning and data optimization, holding 2 patents that showcase her innovative approach to technology.

Latest Patents

Masha's latest patents focus on the optimization of investigator and site location identification. The first patent describes a computer-implemented method that utilizes a machine learning system to receive distinct types of data associated with multiple individual entities. For each entity, the system determines a first attribute that indicates a predicted attribute based on data analysis. Additionally, it identifies a second attribute that reflects a predicted quality attribute of the entity. An attribute weighting module generates weight values for both attributes, allowing the system to create a data structure that ranks entities based on a tier indicator corresponding to either or both attributes.

Career Highlights

Masha Kazantseva is currently employed at IQVIA Inc., where she applies her expertise in machine learning to enhance data-driven decision-making processes. Her work has been instrumental in advancing methodologies that improve the efficiency of site and investigator selection in clinical research.

Collaborations

Masha collaborates with talented professionals such as Kristy Morgan and Mark Boone Brown, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Masha Kazantseva is a trailblazer in the field of machine learning, with a focus on optimizing data analysis for better decision-making. Her contributions through her patents and work at IQVIA Inc. highlight her commitment to advancing technology in meaningful ways.

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