Ali Nasiri Amini

Title: Innovations of Ali Nasiri Amini

Introduction

Ali Nasiri Amini is an accomplished inventor based in Redwood City, CA. He has made significant contributions to the field of machine learning, particularly in developing models that enhance the understanding of user interactions and performance metrics. With a total of 3 patents, Amini's work is at the forefront of technological advancements.

Latest Patents

Amini's latest patents focus on "Contribution incrementality machine learning models." These patents disclose methods, systems, and computer programs encoded on a computer storage medium for training and utilizing machine learning models. The methods involve creating a model that represents relationships between user attributes, content exposures, and performance levels for a target action. This is achieved using organic exposure data that specifies one or more organic exposures experienced by a user over a specified time prior to the performance of a target action. Additionally, third-party exposure data is utilized to specify third-party exposures of a particular type of digital component to the user over the same time period. The model determines an incremental performance level attributable to each of the third-party exposures at the time the target action was performed. Furthermore, transmission criteria for some digital components to which the user was exposed are modified based on the incremental performance.

Career Highlights

Ali Nasiri Amini is currently employed at Google Inc., where he continues to innovate and develop cutting-edge technologies. His work has garnered attention for its practical applications in enhancing machine learning models and improving user experience.

Collaborations

Amini collaborates with talented individuals such as Xinlong Bao and Jing Wang, contributing to a dynamic and innovative work environment.

Conclusion

Ali Nasiri Amini's contributions to machine learning and his innovative patents reflect his expertise and commitment to advancing technology. His work at Google Inc. continues to influence the field and drive progress in understanding user interactions.