Dinah Shender

Title: Dinah Shender: Innovator in Machine Learning

Introduction

Dinah Shender is a prominent inventor based in Sunnyvale, CA, known for her contributions to the field of machine learning. With a focus on developing innovative methods and systems, she has made significant strides in understanding user interactions and performance levels.

Latest Patents

Dinah holds 2 patents, with her latest invention titled "Contribution Incrementality Machine Learning Models." This patent discloses 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, along with third-party exposure data. The model determines an incremental performance level attributable to each of the third-party exposures at the time the target action is performed. Furthermore, transmission criteria for certain digital components to which the user was exposed are modified based on the incremental performance.

Career Highlights

Dinah Shender is currently employed at Google Inc., where she continues to push the boundaries of machine learning technology. Her work has garnered attention for its innovative approach to understanding user behavior and optimizing digital interactions.

Collaborations

Throughout her career, Dinah has collaborated with notable colleagues, including Xinlong Bao and Mert Dikmen. These partnerships have contributed to her success and the advancement of her research in machine learning.

Conclusion

Dinah Shender's work in machine learning exemplifies the innovative spirit of modern technology. Her patents and contributions continue to shape the landscape of user interaction and performance analysis.