Jeff Dean

Jeff Dean is a world-renowned expert on AI, currently serving as Senior Fellow and SVP of Google Research and AI. As the Lead of Google AI, Jeff has been instrumental in developing much of Google’s AI infrastructure and architecture, pioneering speech recognition, computer vision, language understanding and machine learning technology. With such distinguished expertise, Jeff delivered an acclaimed TEDx Talk titled AI Isn’t as Smart as You Think – But It Could Be, receiving over two million views. Now a highly sought-after speaker on digital disruption, deep learning, machine learning and AI, Jeff is an illustrious speaker.

After earning a BS in Computer Science and Economics at the University of Minnesota, he obtained an MS and a PhD in Computer Science at the University of Washington. Supervised by Craig Chambers for his PhD dissertation, Jeff specialised in compilers and whole-program optimisation techniques for object-oriented programming languages. In 1991 he became a Teaching Assistant and Instructor at the University of Washington, instructing 60 students on Introductory Programming II. He later became a Research Assistant at the University, inventing new techniques for optimising object-oriented languages and becoming one of three implementers of Vortex.

In 1996 he joined Western Research Laboratory, Compaq Computer Corporation as a Member of the Research Staff, working on profiling tools, microprocessor architecture and information retrieval. Following that, Jeff became a Senior Member of the Technical Staff at mySimon before working for the World Health Organisation’s Global Programme on Aids, developing statistical modelling to forecast the HIV/AIDs pandemic. Joining Google in 1999, Jeff co-designed and implemented five successive generations of Google’s crawling, indexing and query retrieval systems, and Google’s AdSense for Content, Google Translate and Google News.

Jeff was also a Member of Google Brain, working on artificial neural networks and was involved in major projects, such as MapReduce, BigTable, LevelDB, TensorFlow and Spanner, which aid machine learning and deep learning efforts. In recognition of his vast contributions to computer science, Jeff got elected to the National Academy of Engineering, appointed Fellow of the Association for Computing Machinery and recipient of the ACM SIGOPS Mark Weiser Award. Seeking to support the next generation of aspiring scientists and engineers through the Hopper-Dan Foundation, Jeff has made sizeable donations to prominent institutions, including Stanford University, UC Berkley and Carnegie Mellon University. Available to hire as a speaker, Jeff is a preeminent expert on machine learning, deep learning and AI.