This inventor holds 1 USPTO granted patent. Top assignee: Snowflake Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Haoran Yu: Innovator in Automated Machine Learning
Introduction
Haoran Yu is a prominent inventor based in San Mateo, CA (US). He has made significant contributions to the field of machine learning, particularly in the development of automated systems for network-based database applications. His innovative approach has garnered attention in the tech industry.
Latest Patents
Haoran Yu holds a patent for "Automated machine learning for network-based database systems." This technology utilizes first-party training data provided by an end-user of a baseline machine learning model. It determines a first set of common features based on this training data and receives additional data from various sources. The technology then identifies a second set of common features and trains a second machine learning model using both sets of features. This model incorporates extra training data from external suppliers, resulting in a boosted machine learning model that enhances performance compared to the baseline model. He has 1 patent to his name.
Career Highlights
Haoran Yu is currently employed at Snowflake Inc., where he continues to push the boundaries of machine learning technology. His work focuses on integrating advanced algorithms into database systems, making them more efficient and user-friendly.
Collaborations
Some of his notable coworkers include Rachel Frances Blum and Nancy Dou, who contribute to the innovative environment at Snowflake Inc. Their collaborative efforts help drive the development of cutting-edge technologies in the field.
Conclusion
Haoran Yu's contributions to automated machine learning represent a significant advancement in the industry. His innovative patent and work at Snowflake Inc. highlight his role as a key player in the evolution of machine learning technologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
