Daniel Jay Rope

USPTO Granted Patents = 28 (Patent Applications = 2)

Average Co-Inventor Count = 2.9

ph-index = 3

Forward Citations = 49(Granted Patents)

Location History:

Palo Alto, CA (US) (2022)
Fairfax, VA (US) (2023)
Reston, VA (US) (2016 - 2024)

Company Filing History:

23 out of 164,108

International Business Machines Corporation

patents

2 out of 5

Cloud Software Group, Inc.

where one patent can have more than one assignee

Years Active: 2016-2025

where 'Filed Patents' based on already Granted Patents

28 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 12373458 - Determining a collection of data visualizations (2025-07-29),

2. 11880778 - Adaptive filtering and modeling via adaptive experimental designs to identify emerging data patterns from large volume, high dimensional, high velocity streaming data (2024-01-23),

3. 11782732 - Language agnostic pipeline packager for machine learning (2023-10-10),

4. 11657305 - Multi-method system for optimal predictive model selection (2023-05-23),

5. 11651233 - Candidate visualization techniques for use with genetic algorithms (2023-05-16),

6. 11443206 - Adaptive filtering and modeling via adaptive experimental designs to identify emerging data patterns from large volume, high dimensional, high velocity streaming data (2022-09-13),

7. 11429623 - System for rapid interactive exploration of big data (2022-08-30),

8. 11222038 - Generating an outside-in hierarchical tree visualization (2022-01-11),

9. 11068647 - Measuring transitions between visualizations (2021-07-20),

10. 10949444 - Determining a collection of data visualizations (2021-03-16),

11. 10776569 - Generation of annotated computerized visualizations with explanations for areas of interest (2020-09-15),

12. 10769162 - Generating business intelligence analytics data visualizations with genomically defined genetic selection (2020-09-08),

13. 10769161 - Generating business intelligence analytics data visualizations with genomically defined genetic selection (2020-09-08),

14. 10685035 - Determining a collection of data visualizations (2020-06-16),

15. 10607139 - Candidate visualization techniques for use with genetic algorithms (2020-03-31),

Title: The Innovative Contributions of Daniel Jay Rope

Introduction

Daniel Jay Rope, a prominent inventor based in Reston, VA, has made significant strides in the field of technology with a remarkable portfolio of 25 patents. His inventions focus primarily on the realms of machine learning and data visualization, showcasing his expertise and forward-thinking approach.

Latest Patents

Among his latest patents is the "Language Agnostic Pipeline Packager for Machine Learning." This innovative approach involves computer-implemented methods and corresponding systems for packaging source code associated with a pipeline into an executable. The methods include parsing a text string that represents a pipeline, automatically augmenting various operators, generating source code, and packaging it into an executable that is compatible with any programming language. This executable can serve as a file, application, or program that integrates seamlessly with external systems.

Another notable patent is related to "Candidate Visualization Techniques for Use with Genetic Algorithms." This method details the process of generating a plurality of candidate visualizations by receiving scenario descriptions and collecting expert data through a training system. This innovative approach employs predictive models based on expert data, optimizing genetic algorithms for more accurate results.

Career Highlights

Daniel has held significant positions at leading tech companies, including IBM and TIBCO Software Inc. His tenure at these organizations has allowed him to drive advancements and contribute to groundbreaking solutions that enhance machine learning and data processing capabilities.

Collaborations

Throughout his career, Daniel has collaborated with prominent colleagues, including Graham John Wills and T Alan Keahey. These partnerships have fostered an environment of innovation, enabling the development of sophisticated technologies that have impacted various industries.

Conclusion

Daniel Jay Rope's contributions to the field of technology through his 25 patents represent a blend of creativity and technical proficiency. His latest inventions demonstrate a commitment to advancing machine learning and visualization techniques, cementing his status as a leading inventor in the industry.

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