Providence, RI, United States of America

Brenda Rubenstein

USPTO Granted Patents = 2 

Average Co-Inventor Count = 14.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2021-2023

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2 patents (USPTO):Explore Patents

Title: Innovations by Brenda Rubenstein

Introduction

Brenda Rubenstein is a prominent inventor based in Providence, RI (US). She has made significant contributions to the field of chemical computation, holding 2 patents that showcase her innovative approach to encoding digital data into chemical forms.

Latest Patents

One of her latest patents focuses on methods of chemical computation. This invention provides techniques for computing with chemicals by encoding digital data into a plurality of chemicals to obtain a dataset. The process involves translating the dataset into a chemical form, reading the dataset, and querying it by performing operations to obtain a perceptron. The perceptron is then analyzed to identify the chemical structure and/or concentration of at least one of the chemicals, ultimately developing a chemical computational language. The invention demonstrates a workflow for representing abstract data in synthetic metabolomes. Additionally, several demonstrations of kilobyte-scale image data sets stored in synthetic metabolomes have been presented, with recovery rates exceeding 99% accuracy.

Career Highlights

Brenda Rubenstein is affiliated with Brown University, where she continues to advance her research and innovations in chemical computation. Her work has garnered attention for its potential applications in various fields, including data storage and analysis.

Collaborations

Brenda collaborates with notable colleagues such as Jacob Karl Rosenstein and Christopher Arcadia, contributing to a dynamic research environment that fosters innovation.

Conclusion

Brenda Rubenstein's work in chemical computation exemplifies the intersection of chemistry and data science, paving the way for future advancements in the field. Her contributions are significant and continue to inspire further research and innovation.

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