Portola Valley, CA, United States of America

David Yan

USPTO Granted Patents = 8 

Average Co-Inventor Count = 3.1

ph-index = 2

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2016-2023

Loading Chart...
8 patents (USPTO):Explore Patents

Title: Innovations of David Yan

Introduction

David Yan is an accomplished inventor based in Portola Valley, California. He holds a total of eight patents, showcasing his expertise in the fields of machine learning and data anonymization. His innovative approaches have made significant contributions to technology and organizational efficiency.

Latest Patents

One of David Yan's latest patents focuses on utilizing neural networks for data anonymization. This method involves receiving a natural language text and transforming it into a numeric representation through a neural network. The natural language text is then discarded, and an information extraction task is performed using the numeric representation. Another notable patent is a method of using machine learning to predict problematic actions within an organization. This method accesses stored employee-related data, such as emails and surveys, to identify subsets of data associated with employees. It predicts the likelihood of adverse relations or potential resignations based on this data.

Career Highlights

Throughout his career, David Yan has worked with several innovative companies, including Yva.ai, Inc. and Findo, Inc. His work in these organizations has allowed him to apply his inventive skills and contribute to advancements in technology.

Collaborations

David has collaborated with notable professionals in his field, including Victor Kuznetsov and Konstantin Anisimovich. These collaborations have further enriched his work and expanded the impact of his inventions.

Conclusion

David Yan's contributions to the fields of machine learning and data anonymization highlight his innovative spirit and dedication to advancing technology. His patents and career achievements reflect a commitment to improving organizational efficiency and data security.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…