IDiyas

For the Inventor, By the Inventor

San Francisco, CA, United States of America

Ryan Wade Sandler

USPTO Granted Patents = 13 

Average Co-Inventor Count = 3.5

ph-index = 5

Forward Citations = 56(Granted Patents)


Company Filing History:

goldMedal13 out of 54,638 
 
Microsoft Technology Licensing, LLC
 patents

Years Active: 2018-2021

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13 patents (USPTO):
1. 11195149 - Relating data while preventing inter-entity data sharing (2021-12-07),
2. 10515317 - Machine learning algorithm for user engagement based on confidential data statistical information (2019-12-24),
3. 10484387 - Tracking submission of confidential data in a computer system (2019-11-19),
4. 10460128 - Collection flow for confidential data (2019-10-29),
5. 10430816 - Strategy for collection flow and seeding across cohorts (2019-10-01),
6. 10430762 - Strategy for collection flow and seeding within a cohort (2019-10-01),
7. 10360372 - Preventing timestamp-based inference attacks (2019-07-23),
8. 10242230 - Preventing inference attacks by joining on confidential data value (2019-03-26),
9. 10218683 - Relating private data of different entities (2019-02-26),
10. 10191989 - Computation of peer company groups based on position transition data in a social networking service (2019-01-29),
11. 10158645 - Protecting against spam and over-representation in submission of confidential data (2018-12-18),
12. 10157291 - Collection flow for confidential data (2018-12-18),
13. 10043040 - Protecting against fraud and incorrect entries in submission of confidential data (2018-08-07),

Title: The Innovative Contributions of Ryan Wade Sandler

Introduction

Ryan Wade Sandler is a prominent inventor based in San Francisco, CA. He has made significant contributions to the field of technology, particularly in data privacy and machine learning. With a total of 13 patents to his name, Sandler continues to push the boundaries of innovation.

Latest Patents

Sandler's latest patents include groundbreaking work in cryptography and user engagement. One notable patent focuses on relating data while preventing inter-entity data sharing. This invention involves computing a relationship between private data of two entities while preserving their privacy and preventing data sharing. The server architecture includes components that compute intersections of datasets without directly accessing them. Another significant patent involves a machine learning algorithm designed to enhance user engagement based on statistical information about confidential data. This algorithm calculates an engagement score for members of a social networking service, determining the likelihood of increased engagement when provided with relevant statistical information.

Career Highlights

Sandler is currently employed at Microsoft Technology Licensing, LLC, where he applies his expertise in technology and innovation. His work has garnered attention for its potential to revolutionize how data privacy is managed in various applications.

Collaborations

Sandler collaborates with talented individuals such as Krishnaram Kenthapadi and Ahsan Latif Chudhary, contributing to a dynamic and innovative work environment.

Conclusion

Ryan Wade Sandler's contributions to technology and innovation are noteworthy, particularly in the realms of data privacy and machine learning. His patents reflect a commitment to advancing the field while ensuring user privacy and engagement.

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