Brooklyn, NY, United States of America

Hannah Siow Pavalow

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Meta Platforms, Inc.. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hannah Siow Pavalow. Retrieved from https://idiyas.com/inventor/hannah-siow-pavalow

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Innovations by Hannah Siow Pavalow

Introduction

Hannah Siow Pavalow is an accomplished inventor based in Brooklyn, NY. She has made significant contributions to the field of machine learning, particularly in the realm of advertising. Her innovative work has garnered attention and recognition in the tech industry.

Latest Patents

Hannah holds a patent for "Systems and methods for predicting qualitative ratings for advertisements based on machine learning." This patent involves systems, methods, and non-transitory computer-readable media that can determine a representation of an advertisement using a first machine learning model. The representation is then provided to a second machine learning model, which determines one or more qualitative ratings associated with the advertisement.

Career Highlights

Hannah is currently employed at Meta Platforms, Inc., where she continues to push the boundaries of technology and innovation. Her work focuses on enhancing the effectiveness of advertisements through advanced machine learning techniques.

Collaborations

Hannah has collaborated with notable colleagues, including Alexander Peysakhovich and Michael Randolph Corey. These partnerships have contributed to her success and the advancement of her projects.

Conclusion

Hannah Siow Pavalow is a pioneering inventor whose work in machine learning is shaping the future of advertising. Her contributions are invaluable, and her innovative spirit continues to inspire others in the field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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