Marshall, MI, United States of America

William W Finn

USPTO Granted Patents = 3 

Average Co-Inventor Count = 1.3

ph-index = 3

Forward Citations = 21(Granted Patents)


Location History:

  • Marshall, MI (US) (1976 - 1977)
  • Dexter, MI (US) (2010)

Company Filing History:


Years Active: 1976-2010

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3 patents (USPTO):Explore Patents

Introduction

William Finn, an accomplished inventor located in Dexter, MI, has made significant strides in the field of data visualization and analysis. With his notable patent, he has contributed to advancements in how multi-color cytometry data is processed and visualized, making a profound impact on research methodologies in this domain.

Latest Patents

William Finn holds a patent for a "Method and apparatus for clustering and visualization of multicolor cytometry data." This innovative computer-implemented method aids in clustering and visualizing n-dimensional space within Euclidean space. The process involves collecting multiple multi-dimensional datasets, estimating probability density functions, determining dissimilarities between these functions, and creating a dissimilarity matrix. Through multi-dimensional scaling, this matrix is embedded into a three-dimensional Euclidean space, ultimately allowing for graphical representations of relationships between the datasets on a computing device.

Career Highlights

Finn's career is marked by his tenure at the University of Michigan, where he has significantly contributed to academic and research initiatives. His expertise lies at the intersection of computer science and data analysis, enabling him to develop innovative solutions to complex problems in visual data interpretation.

Collaborations

Throughout his career, William Finn has collaborated effectively with esteemed colleagues, such as Alfred Hero and Kevin Carter. These partnerships have fostered a dynamic environment for innovation, facilitating the exchange of ideas and leading to the development of cutting-edge technologies.

Conclusion

William Finn's contributions to the field of data clustering and visualization represent a valuable asset to research institutions and companies alike. His inventive methods open pathways for enhanced data analysis, benefiting both academic researchers and industry professionals. As technology continues to evolve, Finn's pioneering work will undoubtedly inspire future innovations in the realm of data science.

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