Mohak Saxena

Title: Mohak Saxena: Innovator in Machine Learning Model Interpretation

Introduction

Mohak Saxena is a prominent inventor based in East Walpole, MA (US). He has made significant contributions to the field of machine learning, particularly in the interpretation of machine learning model predictions. His innovative approach has garnered attention in the tech community.

Latest Patents

Mohak Saxena holds a patent for "Systems and methods for machine learning model interpretation." This patent describes systems and methods for interpreting machine learning model predictions. An example method includes providing a machine learning model configured to receive a plurality of features as input and provide a prediction as output. The plurality of features includes an engineered feature that combines two or more parent features. The method also involves calculating a Shapley value for each feature in the plurality of features and allocating a respective portion of the Shapley value for the engineered feature to each of the two or more parent features. He has 1 patent to his name.

Career Highlights

Mohak Saxena is currently employed at DataRobot, Inc., where he continues to develop innovative solutions in machine learning. His work focuses on enhancing the interpretability of machine learning models, which is crucial for their adoption in various industries.

Collaborations

Throughout his career, Mohak has collaborated with notable professionals in the field, including Mark Benjamin Romanowsky and Jared Bowns. These collaborations have contributed to the advancement of machine learning technologies.

Conclusion

In summary, Mohak Saxena is a key figure in the realm of machine learning, with a focus on model interpretation. His contributions and collaborations continue to shape the future of this technology.