New York, NY, United States of America

Xiang Yin

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Medidata Solutions, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiang Yin. Retrieved from https://idiyas.com/inventor/xiang-yin-c03pvkcf

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Xiang Yin: Advancing Efficient Evaluation of Propensity Score Models.

Introduction

Xiang Yin is an inventor associated with New York, NY, and Medidata Solutions, Inc. His patent work addresses computational efficiency in evaluating and selecting propensity score models, which can support the estimation of treatment effectiveness.

Latest Patents

Yin is named on one patent: Computerized System for Increasing Computational Efficiency in Evaluation and Selecting Propensity Score Models. The invention describes a computer system that accesses data about test subjects and candidate propensity score models. It sequentially evaluates candidate models until specified stopping criteria are met, then selects a set of models for estimating treatment effectiveness. The system also stores and outputs a data structure representing the selected models. Yin is associated with 1 patent.

Career Highlights

Yin’s listed patent connects his work with computational methods for evaluating treatment effects. His company affiliation is Medidata Solutions, Inc.

Collaborations

The provided information lists Ruthanna Davi and Chengrui Huang as Yin’s coworkers. Their specific roles in the patent or related work are not specified.

Conclusion

Xiang Yin’s patent focuses on making the evaluation and selection of propensity score models more computationally efficient, supporting their use in estimating treatment effectiveness.

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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