Somerville, MA, United States of America

Dennis Shen

USPTO Granted Patents = 3 

Average Co-Inventor Count = 3.6

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Somerville, MA (US) (2022)
  • Irvine, CA (US) (2023)

Company Filing History:


Years Active: 2022-2025

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3 patents (USPTO):Explore Patents

Title: Innovations of Dennis Shen

Introduction

Dennis Shen is an accomplished inventor based in Somerville, MA (US). He has made significant contributions to the field of technology, particularly in the areas of synthetic interventions and time series analysis. With a total of 3 patents, his work continues to influence various applications in data analysis and modeling.

Latest Patents

One of Dennis Shen's latest patents is titled "Systems and methods for synthetic interventions." This computer-implemented method involves identifying common interventions between a target unit and multiple donor units. The process includes generating synthetic data based on learned models that represent relationships between these units. Another notable patent is "Model agnostic time series analysis via matrix estimation." This invention focuses on modeling time series data from missing values and noisy measurements. It employs matrix estimation techniques to improve forecasting accuracy, allowing for better analysis of physical processes.

Career Highlights

Dennis Shen is affiliated with the Massachusetts Institute of Technology, where he contributes to research and innovation. His work has garnered attention for its practical applications in various fields, enhancing the understanding and manipulation of complex data sets.

Collaborations

Throughout his career, Dennis has collaborated with notable colleagues, including Devavrat D Shah and Anish Agarwal. These partnerships have further enriched his research and development efforts.

Conclusion

Dennis Shen's innovative work in synthetic interventions and time series analysis showcases his expertise and commitment to advancing technology. His contributions continue to pave the way for future developments in data analysis and modeling.

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