Michael Isard is a Research Scientist at Google DeepMind, specializing in large-scale distributed systems.
He is known for his research in Computer Vision and in Computer Systems. He originated the use of particle filtering in computer vision, co-authoring leading papers and a book on visual tracking. His work on efficient matching of images for retrieval has also had wide influence. He is a pioneer in making distributed computing broadly accessible, combining easily mastered programming models with high performance implementations scaling to thousands of servers, and his systems have been extensively used for production workloads at Microsoft and Google.
At Google he co-leads a team building infrastructure that allows machine learning researchers to innovate beyond traditional deep learning architectures, and is used to train Google's largest and most capable machine learning models.
Research Scientist, Google
Interest and expertise
Systems, including networking, Artificial intelligence, machine learning, vision