Jeff Dean: Advances in Machine Learning for Systems

Jeff joined Google in 1999 and is currently Chief Scientist for Google DeepMind and Google Research, and co-lead of the Gemini effort. He co-founded the Google Brain team with merged with DeepMind to form Google DeepMind in 2023. He has co-designed/implemented multiple generations of Google's distributed machine learning systems for neural network training and inference, including DistBelief, TensorFlow, and Pathways, as well as multiple generations of Google's crawling, indexing, and query serving systems, and major pieces of Google's initial advertising and AdSense for Content systems. He is also a co-designer and co-implementor of Google's distributed computing infrastructure, including the MapReduce, BigTable and Spanner systems, protocol buffers, LevelDB, systems infrastructure for statistical machine translation, and a variety of internal and external libraries and developer tools. He received a Ph.D. in Computer Science from the University of Washington in 1996, working with Craig Chambers on compiler techniques for object-oriented languages. He is a Fellow of the ACM, a Fellow of the AAAS, a member of the U.S. National Academy of Engineering, a recipient of the Mark Weiser Award, the ACM Prize in Computing, and the IEEE John von Neumann medal.