Newton, MA, United States of America

Geoff Gill


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 17(Granted Patents)


Company Filing History:


Years Active: 2016

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1 patent (USPTO):Explore Patents

Title: Geoff Gill: Innovator in Biologically Based Data Collection Systems

Introduction

Geoff Gill, located in Newton, MA, is a prominent inventor known for his contributions to the field of biologically based measures. With a focus on audience response to stimuli, Gill has made significant strides in enhancing data collection methods in varied environments.

Latest Patents

Geoff Gill holds a patent for a "Data collection system for aggregating biologically based measures in asynchronous geographically distributed public environments." This innovative invention relates to systems and methods for measuring audience reactions to specific stimuli. His work emphasizes the ability to deploy these systems across multiple locations, tailoring the display of stimuli based on location and target demographics, thus allowing for effective data aggregation.

Career Highlights

Gill currently works for The Nielsen Company, LLC, where he leverages his expertise to drive advancements in audience measurement and data analytics. His unique patent showcases not only his inventive spirit but also his commitment to improving the methodologies used in understanding audience interactions.

Collaborations

Throughout his career, Geoff has collaborated with notable colleagues, including Carl D. Marci and Brian Levine. These partnerships have fostered an environment of innovation, allowing for the intersection of ideas that have led to the development of effective data collection technologies.

Conclusion

In conclusion, Geoff Gill stands out as an influential inventor in the realm of biologically based systems for audience measurement. Through his patent and collaboration with industry professionals, he has contributed valuable insights into understanding human responses in diverse environments, furthering the innovation landscape in data collection practices.

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