Company Filing History:
Years Active: 2019
Title: Innovations by Jian Li: A Pioneer in Personalized Predictive Models
Introduction
Jian Li, an inventive spirit based in New Malden, GB, has made significant strides in the field of technology with his valuable patent. With an impressive portfolio highlighting his creativity and technical prowess, he has focused on creating personalized predictive models that have the potential to revolutionize user interaction with technology.
Latest Patents
Jian Li holds a patent for generating and utilizing personalized predictive models. This innovation allows for a generic predictive model to first predict user responses based on electronic inputs. After a set duration, an analysis is conducted to assess the actual user responses, which are then leveraged to train the generic model, consequently creating a personalized predictive model tailored to individual user behavior. The personalized model continuously evolves through periodic updates based on real user feedback, ensuring its effectiveness in predicting future responses.
Career Highlights
Currently employed at Microsoft Technology Licensing, LLC, Jian Li has demonstrated his expertise and commitment to advancing technological solutions that enhance user experience. His career is marked by innovation and a dedication to research and development, contributing to Microsoft’s reputation as a leader in technology and innovation.
Collaborations
Throughout his career, Jian Li has collaborated with notable coworkers such as James Edelen and John Fitzgerald Bronskill. These partnerships reflect a shared vision of pushing the boundaries of technology and building predictive models that cater to dynamic user needs.
Conclusion
Jian Li’s contributions through his patent on personalized predictive models embody the essence of innovation in responding to user needs. Working with esteemed colleagues at Microsoft Technology Licensing, LLC, he continues to make strides in a field that holds great promise for the future of interaction between technology and its users. His work not only exemplifies technical ingenuity but also showcases the importance of adaptability in predictive technologies.