If you are a developer, I think you should have heard countless jokes about the great Jeff Dean, the most widely circulated of which are "the compiler never gives Jeff compilation warnings, but Jeff warns the compiler" and "all pointers point to Jeff," which is enough to indirectly prove Jeff Dean's strength from the side.
Jeffrey Adgate (Jeff Dean) (July 23, 1968 –) is an American computer scientist and software engineer. Since 2018, he has led Google's artificial intelligence department, Google AI. You can learn more about his profile on Google's official websitehttps://research.google/people/jeff/
Education
Jeff Dean received a bachelor's degree in computer science and economics from the University of Minnesota in 1990 with distinction. He received a doctorate in computer science from the University of Washington in 1996, where, under the guidance of Craig Chambers, he researched compilers for object-oriented programming languages and whole-program optimization techniques. He was elected a member of the National Academy of Engineering in 2009, which recognized his work in "the science and engineering of large-scale distributed computer systems."
Work Experience
Before joining Google, Dean worked at DEC/Compaq's Western Research Laboratory, where he worked on analysis tools, microprocessor architecture, and information retrieval. Before graduate school, he worked at the World Health Organization's Global Programme on AIDS, developing software for statistical modeling and forecasting of the HIV/AIDS epidemic.
Jeff joined Google in mid-1999 and is currently the head of Google's artificial intelligence department. During his time at Google, he designed and implemented most of the company's advertising, crawling, indexing, and query service systems, as well as the distributed computing infrastructure that serves as the foundation for most Google products. At various times, he also worked on improving search quality, statistical machine translation, and internal software development tools, and played an important role in the engineering hiring process.
Jeff was also an early member of Google Brain, a team that researches large-scale artificialneural networks, and he has led Google AI's work since artificial intelligence was separated from Google Search.
Projects Jeff participated in
- Spanner, a scalable, multi-version, globally distributed, and synchronously replicated database
- Google Translate's production system design and statistical machine translation systems
- Bigtable, a large-scale semi-structured storage system
- MapReduce, a system for large-scale data processing applications
- LevelDB, an open-source on-disk key-value store
- DistBelief, a proprietary machine learning system for deep neural networks, which was eventually refactored into TensorFlow
- TensorFlow, an open-source machine learning software library
Jeff's Research Areas
