Company Filing History:
Years Active: 2003
Title: **Christopher T. Volinsky: Innovator in Data Compression**
Introduction
Christopher T. Volinsky is a noteworthy inventor based in Morris Plains, NJ. He is recognized for his significant contribution to the field of data compression, particularly with his patented method and system for squashing large data sets. His work showcases how innovative techniques can optimize data handling in various applications.
Latest Patents
Christopher T. Volinsky holds a patent titled "Method and system for squashing a large data set - Apparatus and method for summarizing an original large data set with a representative data set." This invention allows for the creation of a representative data set that contains the same variables as the original data set, but with significantly fewer data elements. The invention involves three main steps: partitioning the original data elements into separate bins, calculating moments of the data elements in each bin, and generating the representative data set by selecting data elements with weights reflecting the degree of compression.
Career Highlights
Christopher Volinsky is currently associated with AT&T Corp., where he applies his expertise in data analytics and compression technologies. His work in this capacity contributes to the advancement of telecommunications and data management services within the company.
Collaborations
Throughout his career, Christopher has collaborated with notable colleagues, including William H. DuMouchel and Theodore Donald Johnson. These collaborations have likely enhanced the innovation processes and the development of cutting-edge technologies in data handling.
Conclusion
In summary, Christopher T. Volinsky is an inventive force in the realm of data compression. His patent not only reflects his ingenuity but also highlights the importance of efficient data management in today's technology-driven world. As industries continue to generate massive amounts of data, innovations like Volinsky's will remain critical in optimizing data utilization for businesses and researchers alike.