Company Filing History:
Years Active: 2007
Title: Jim Roan: Innovator in Structural Data Analysis
Introduction
Jim Roan, based in Ann Arbor, MI, is a distinguished inventor recognized for his contributions to the field of structural data analysis. With a notable patent to his name, Roan has made significant strides in the methodology of identifying significant bivariate checkpoints, showcasing his expertise in handling complex data systems.
Latest Patents
Roan holds a patent for a "Structural Data Analysis System," which presents a novel system and method for identifying significant bivariate checkpoints. This innovative system includes a controller that receives measurements for various checkpoints, calculating covariance and correlation for each checkpoint pair. By identifying significant bivariate checkpoints based on covariance and correlation, Roan’s invention advances data analysis techniques. The controller can also rank these significant checkpoints and provide them to a principal component algorithm, enhancing data interpretation methods.
Career Highlights
Currently, Jim Roan is employed at Perceptron, Inc., where he continues to expand his expertise in data analysis. His role involves working on innovative solutions that advance the capabilities of structural data analysis systems. Roan's commitment to innovation has positioned him as a key player in his field.
Collaborations
Throughout his career, Roan has collaborated with talented professionals such as Jiri Gardavsky and Yu Guo. These partnerships have allowed him to harness a diverse range of ideas and skills, further enhancing the impact of his work in structural data analysis.
Conclusion
Jim Roan stands out as an innovator in structural data analysis, with his patented system demonstrating a significant advancement in the field. His work at Perceptron, Inc. and collaborations with esteemed colleagues exemplify his dedication to innovation. Roan's contributions will undoubtedly continue to influence and shape the future of data analysis methodologies.