Los Altos, CA, United States of America

Mark Andrew DePristo


Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Mark Andrew DePristo: Innovator in Protein Function Prediction

Introduction

Mark Andrew DePristo is a prominent inventor based in Los Altos, California. He is known for his significant contributions to the field of computational biology, particularly in predicting biological functions of proteins. His innovative work has implications for various applications in biotechnology and medicine.

Latest Patents

DePristo holds a patent titled "Predicting biological functions of proteins using dilated convolutional neural networks." This patent encompasses methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predicting biological functions of proteins. The method involves obtaining data that defines a sequence of amino acids in a protein and processing this data using a convolutional neural network with dilated convolutional layers. The neural network is designed to generate outputs that characterize at least one predicted biological function of the protein's amino acid sequence.

Career Highlights

Mark Andrew DePristo is currently employed at Google Inc., where he continues to advance his research in the intersection of artificial intelligence and biology. His work at Google has allowed him to leverage cutting-edge technology to enhance the understanding of protein functions.

Collaborations

DePristo has collaborated with notable colleagues, including Maxwell Bileschi and Lucy Colwell. These collaborations have fostered a productive environment for innovation and research in computational biology.

Conclusion

Mark Andrew DePristo's contributions to the field of protein function prediction through his innovative patent and work at Google Inc. highlight his role as a leading inventor in the realm of computational biology. His research continues to pave the way for advancements in understanding biological processes.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…