Jeff Dean
Papers
2
Total Citations
4,611
H-Index
2
About
Jeff Dean is a pioneering figure in artificial intelligence and large-scale distributed computing, whose work has fundamentally shaped modern machine learning. His research spans deep learning, systems infrastructure, and the application of AI to healthcare and scientific discovery. As a co-founder of Google Brain, Dean led the development of TensorFlow, the open-source framework that democratized deep learning research worldwide. His landmark paper, "A Guide to Deep Learning in Healthcare" (2018), with over 4,600 citations, showcases his impact in translating AI advances into medical diagnostics and treatment. Dean's contributions to building machine learning systems that understand raw data—from speech and images to language—have driven breakthroughs in Google's search, translation, and autonomous driving projects. He is also known for co-authoring the MapReduce and Bigtable papers, foundational to modern cloud computing. With hundreds of thousands of citations across his body of work, Jeff Dean remains a visionary whose engineering and research continue to inspire a generation of AI practitioners and systems builders.
Research Focus
Key Achievements
Top Papers
- 1A guide to deep learning in healthcare4,608 citations · 2018
- 2Building Machine Learning Systems that Understand3 citations · 2016