Sunnyvale, CA, United States of America

Hanlin Goh

USPTO Granted Patents = 8 

Average Co-Inventor Count = 3.9

ph-index = 2

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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8 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Hanlin Goh

Introduction

Hanlin Goh is a prominent inventor based in Sunnyvale, CA. He has made significant contributions to the field of machine learning, particularly in the analysis and visualization of biosignals. With a total of 8 patents to his name, Goh continues to push the boundaries of technology and innovation.

Latest Patents

Goh's latest patents include groundbreaking work in subject-aware contrastive learning for biosignals. This application relates to apparatus, systems, and methods designed to perform subject-aware self-supervised learning of a machine-learning model for the classification of data, such as biosignals. Another notable patent focuses on the visualization of biosignals using machine-learning generated content. This method involves receiving biosignal data measured from a user, encoding the data into a vector, and generating an image based on that vector using a generative model. The generated image is then provided for display, enhancing the understanding of biosignal data.

Career Highlights

Goh is currently employed at Apple Inc., where he applies his expertise in machine learning to develop innovative solutions. His work has garnered attention for its potential applications in health technology and data analysis.

Collaborations

Throughout his career, Goh has collaborated with notable colleagues, including Nitish Srivastava and Ruslan Salakhutdinov. These collaborations have further enriched his research and development efforts in the field.

Conclusion

Hanlin Goh's contributions to machine learning and biosignal analysis exemplify the impact of innovative thinking in technology. His patents reflect a commitment to advancing the understanding and application of biosignals, paving the way for future developments in the field.

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