This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. 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: Guodong Chen: Innovator in Biological Predictive Systems
Introduction
Guodong Chen is a notable inventor based in Baltimore, MD (US). He has made significant contributions to the field of biological predictive systems through his innovative work at Microsoft Technology Licensing, LLC. His expertise lies in developing methods that enhance the understanding of biological functions using advanced statistical techniques.
Latest Patents
Guodong Chen holds a patent for a "Statistical dependence-aware biological predictive system." This invention involves a computer-implemented method that accesses a multivariate time series set of samples collected by multiple biological sensors. The method divides the data set into windows, calculates statistical dependencies between the samples, generates a relationship matrix, and transforms it to create a feature vector that captures the statistical dependencies among the sensors. This innovative approach has the potential to significantly improve predictive analytics in biological research.
Career Highlights
Throughout his career, Guodong Chen has demonstrated a strong commitment to advancing technology in the biological sciences. His work at Microsoft Technology Licensing, LLC has positioned him as a key player in the development of predictive systems that leverage data from biological sensors. His contributions are recognized for their potential impact on various applications in healthcare and research.
Collaborations
Guodong Chen has collaborated with talented individuals such as Hayden Sullivan Helm and Weiwei Yang. These partnerships have fostered an environment of innovation and creativity, leading to advancements in the field of biological predictive systems.
Conclusion
Guodong Chen's work exemplifies the intersection of technology and biology, showcasing how innovative methods can enhance our understanding of complex biological functions. His contributions through patents and collaborations continue to pave the way for future advancements in predictive analytics.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile