Company Filing History:
Years Active: 2018-2024
Title: The Innovative Mind of Jing Lin
Introduction
Jing Lin is a notable inventor based in Hong Kong, China, known for his impactful contributions to the field of data synthesis and predictive modeling. With a portfolio of four patents to his name, Lin has established himself as a pioneer in the development of advanced systems and methods that facilitate data analysis, particularly in the context of synthetic data generation.
Latest Patents
Lin's most recent patents focus on groundbreaking methodologies for constructing sets of synthetic data. One of his latest innovations, titled "System and method for building predictive model for synthesizing data," introduces a process by which a single data record is identified from a larger set of data. This approach employs pattern recognition to form targeted groups of records that share similar characteristics, allowing for effective analysis and comparison.
In another significant patent, "System and method for synthesizing data," Lin further explores the intricacies of data record analysis. This method involves processing a single data record sourced from a plurality of records to identify groups with equivalent features. By utilizing probability estimation and optimization constraints, the invention determines scores for records and highlights those most similar to the established data record, streamlining data replacement operations.
Career Highlights
Jing Lin is currently employed at Cigna Intellectual Property, Inc., where he continues to innovate within the realms of data science and technology. His inventive spirit and analytical mindset have significantly contributed to the progression of data synthesis methodologies, positioning him as a noteworthy figure in his industry.
Collaborations
At Cigna Intellectual Property, Inc., Lin collaborates with talented professionals like David Fogarty and Chit Ming Yip. Together, they contribute to fostering an environment of innovation, enabling the development of advanced technologies and enhancing the overall intellectual property assets of their organization.
Conclusion
Jing Lin's inventive journey and his contributions to data synthesis reflect a commitment to pushing the boundaries of technology. As he continues to create and patent new methodologies, his work not only impacts his immediate environment but also promotes advancements across various sectors reliant on data analysis and synthesis.