Aastha Nigam

Title: Aastha Nigam: Innovator in Machine Learning and Information Networks

Introduction

Aastha Nigam is a prominent inventor based in Sunnyvale, CA, who has made significant contributions to the field of machine learning and information networks. With a total of four patents to her name, she has demonstrated her expertise and innovative thinking in developing advanced technologies.

Latest Patents

Aastha's latest patents include a "Deep representation machine learned model for heterogeneous information networks." This invention utilizes a deep learning model to learn embedding representations of a heterogeneous information network, capturing both entity-specific properties and network environment properties. The model incorporates position-aware embeddings and meta-path embeddings as input features, along with modified embedding propagation methods to enhance the understanding of network meta-path properties.

Another notable patent is "Recommending edges via importance aware machine learned model." This invention presents a single machine learned model that ranks entities across various combinations of node types and edge types. It calibrates scores from Edge-FPR models to a unified scale and employs a per-edge type multiplicative factor based on the true importance of an edge type, learned through counterfactual experimentation. This solution optimizes a common downstream metric, facilitating comparisons across different node and edge types.

Career Highlights

Aastha Nigam is currently employed at Microsoft Technology Licensing, LLC, where she continues to push the boundaries of innovation in her field. Her work focuses on developing machine learning models that enhance the understanding and functionality of heterogeneous information networks.

Collaborations

Aastha collaborates with talented individuals such as Aastha Jain and Ankan Saha, contributing to a dynamic and innovative work environment.

Conclusion

Aastha Nigam's contributions to machine learning and information networks exemplify her commitment to innovation and excellence. Her patents reflect her ability to address complex challenges and create impactful solutions in technology.