Jeff Dean
Co-founder and CEO of Discovery Loop
A distributed-systems pioneer who helped build the computing foundations of large-scale deep learning and later co-founded Discovery Loop.
Biography
Jeff Dean is an American computer scientist whose career spans distributed computing, machine-learning infrastructure, and AI research leadership. He earned a doctorate in computer science at the University of Washington and joined Google in 1999. His early work helped create systems for storing and processing information across large fleets of computers.
Dean became a major contributor to Google’s deep-learning effort and to infrastructure such as TensorFlow. He co-authored the TensorFlow systems papers and helped explain its release as open-source software in 2015. This work connected model research with the tools needed to train and serve models across different kinds of computing hardware.
After serving as Google’s chief scientist, Dean co-founded Discovery Loop in 2026 with Sanjay Ghemawat, Quoc Le, and Oriol Vinyals. The company aims to automate experimental loops in machine learning, science, and engineering. His career connects the practical design of computing systems with the ambition to use AI to accelerate research itself.
Notable contributions
Helped build and release TensorFlow
Contributed to Google’s machine-learning system and its open-source release.
Co-founded Discovery Loop
Joined the founding team pursuing automated experimental loops for machine learning, science, and engineering.
Career history
Chief Scientist
