Enabling Next Generation Machine Learning for Large Scale Image Analysis

STATEMENT OF WORK Dr. Cooper will serve as the computational pathology and medical image analysis subject matter on this proposal, providing use cases and well-characterized algorithms for development and evaluation of the proposed software. Dr. Cooper’s research lab develops machine learning algorithms and software tools for analyzing whole-slide digital pathology images. He also leads the implementation of digital pathology for Northwestern’s healthcare system. His group has extensive experience in dealing with machine learning libraries including Pytorch and Tensorflow and with implementing complex machine learning workflow for multi-GPU systems. He will work with the teams at RNET Technologies and Utah, providing the use cases to design and evaluate the proposed software and will provide all data and implementations. He will provide guidance on the design of experiments to evaluate software design and performance. He will assist with documentation and dissemination of results to the pathology and medical image analysis research communities.