Cambridge, MA, United States of America

Lucy Colwell

USPTO Granted Patents = 1 

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Journey of Lucy Colwell

Introduction

Lucy Colwell, an inventive mind in the realm of biology and technology, is based in Cambridge, MA. She is recognized for her contributions to the field through her innovative patent, which delineates methods for predicting biological functions of proteins using advanced neural network techniques.

Latest Patents

Colwell holds a notable patent titled "Predicting biological functions of proteins using dilated convolutional neural networks." This patent focuses on methods, systems, and apparatus, including computer programs encoded on a computer storage medium, designed to predict biological functions of proteins. The core of her invention involves obtaining data that defines a sequence of amino acids in a protein and processing this data using a convolutional neural network equipped with dilated convolutional layers. This technology enables the identification of predicted biological functions based on the processed data, significantly advancing the capabilities in biological informatics.

Career Highlights

Currently, Lucy Colwell is part of Google Inc., a globally recognized leader in technology and innovation. Her role involves leveraging her expertise in machine learning and biological systems to propel innovations that bridge computing and biology. With just one patent to her name so far, her work exemplifies the intersection of computational science and biological research.

Collaborations

In her professional journey, Colwell collaborates with notable colleagues such as Maxwell Bileschi and Theodore Sanderson. These collaborations reflect a team effort in the development of multifaceted technologies that can redefine how biological data is understood and utilized.

Conclusion

Lucy Colwell represents the new generation of inventors who are harnessing the power of artificial intelligence to make significant contributions in biological research. Her efforts in developing methods for predicting protein functions highlight the vital role of innovation in advancing scientific understanding. As she continues her work at Google Inc., the potential for future patents and advancements remains promising.

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