Google Chief Scientist Jeff Dean to speak on campus Wednesday, May 14

Jeff Dean, chief scientist at Google Research and Google DeepMind, will speak on Wednesday, May 14, 10:30 a.m.-noon, Keller Hall. In this talk, Jeff Dean will highlight some of the research and computer systems advances that have come together to create the capabilities of modern AI models.
Hear from Jeff Dean!

In this talk, Jeff Dean will highlight some of the research and computer systems advances that have come together to create the capabilities of modern AI models. He will discuss the Gemini family of models and the research advances they are built on, as well as highlight some of the capabilities enabled by features such as multimodality, long-context and in-context learning, and inference-time computation for more sophisticated reasoning.

This talk will present work done by many people at Google.

Modern Advances in Machine Learning and What They Will Enable

by Jeff Dean, chief scientist, Google Research and Google DeepMind 

Wednesday, May 14, 2025

10:30 a.m.-11 a.m. - Pre-lecture reception

11 a.m.-noon - Seminar

Keller Hall, Room 3-180

For more information about the talk, visit the Computer Science and Engineering event webpage.

About Jeff Dean

Jeff Dean joined Google in 1999 where he now serves as Google’s chief scientist, focusing on AI advances for Google DeepMind and Google Research. He is a co-lead of the Gemini project, and his areas of focus include machine learning and AI, and applications of AI to problems that help billions of people in societally beneficial ways. His work has been integral to many generations of Google’s search engine, its initial ad serving system, distributed computing infrastructure such as BigTable and MapReduce, Google's TPU machine learning hardware, the Tensorflow open-source machine learning system, and Gemini multimodal models, among many other things.

Jeff received a Ph.D. in Computer Science from the University of Washington and a B.S. in Computer Science and Economics from the University of Minnesota, summa cum laude.  He is a member of the U.S. National Academy of Engineering and of the American Academy of Arts and Sciences, and a Fellow of the Association for Computing Machinery (ACM) , and a winner of the 2012 ACM Prize in Computing and the 2021 IEEE John von Neumann medal.

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Department of Computer Science and Engineering

csdesk@umn.edu