Somerville, MA, United States of America

Daniel J Mulcahy


Average Co-Inventor Count = 3.3

ph-index = 2

Forward Citations = 9(Granted Patents)


Location History:

  • Somerville, MA (US) (2008 - 2010)
  • Cambridge, MA (US) (2013 - 2024)

Company Filing History:


Years Active: 2008-2024

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7 patents (USPTO):Explore Patents

Title: Innovations of Daniel J Mulcahy

Introduction

Daniel J Mulcahy is a notable inventor based in Somerville, MA (US), recognized for his contributions to predictive data analysis. With a total of seven patents to his name, Mulcahy has made significant strides in enhancing the efficiency and effectiveness of data processing methodologies.

Latest Patents

Among his latest patents is the "Hybrid-input predictive data analysis," which addresses the need for more effective predictive data analysis solutions. This patent outlines a method that includes identifying a vocabulary data object linked to prediction input text data objects, determining a tokenized representation for these objects, and generating a predictive output based on a hybrid-input predictive model. Another significant patent is the "Label-based information deficiency processing," which focuses on improving information deficiency processing. This method involves receiving predictive input, determining encoding probability values, and performing prediction-based actions for deficient encoding designations.

Career Highlights

Throughout his career, Mulcahy has worked with prominent companies such as Analog Devices, Inc. and Optum, Inc. His experience in these organizations has contributed to his expertise in predictive data analysis and information processing.

Collaborations

Some of his notable coworkers include Pablo Acosta-Serafini and Kimo Tam, who have collaborated with him on various projects.

Conclusion

Daniel J Mulcahy's innovative work in predictive data analysis and information processing has established him as a significant figure in the field of technology. His patents reflect a commitment to advancing data analysis methodologies, making a lasting impact on the industry.

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