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Kevin MurphyKevin Murphy

Kevin Murphy

Principal Scientist / Google DeepMind

Kevin Murphy is a Principal Scientist at Google DeepMind, specializing in Artificial Intelligence, Machine Learning, and Bayesian modeling. He is a highly respected figure in the field, known for his comprehensive book series on probabilistic machine learning, including the seminal "Machine Learning: A Probabilistic Perspective" (2012). His career includes significant research roles at Google and an Associate Professor position at the University of British Columbia.

PhD, University of California, Berkeley
United States
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LinkedInLinkedIn2.7K
Artificial IntelligenceMachine LearningRobotics
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Twitter Followers
13+ years
Years at Google
50+
Refereed Papers
1 (2012)
Textbook Published
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Work Experience

Google DeepMindGoogle DeepMind
Google DeepMind

Principal Scientist

May 2024 - Present
Position
Principal Scientist
Google BrainGoogle Brain
Google Brain

Senior Staff Research Scientist

May 2018 - May 2024
Position
Senior Staff Research Scientist
Google ResearchGoogle Research
Google Research

Staff Research Scientist

Jul 2011 - May 2017
Responsibilities
AI, Machine Learning, Computer Vision. More details at https://www.cs.ubc.ca/~murphyk/
University of British ColumbiaUniversity of British Columbia
University of British Columbia

Associate Professor

Sep 2004 - May 2012
Responsibilities
Taught several classes in the computer science and statistics departments. Advised 6 PhD students and 10 MSc students. Published over 50 refereed papers. Wrote the best-selling textbook "Machine learning: a probabilistic perspective" (MIT Press 2012).
M
MIT AI Lab

Postdoctoral researcher

2002 - 2004
Responsibilities
I worked on probabilistic models for computer vision and mobile robotics.

Education

University of California, BerkeleyUniversity of California, Berkeley
University of California, Berkeley

PhD

1996 - 2002
Field of Study
PhD - Computer Science
University of PennsylvaniaUniversity of Pennsylvania
University of Pennsylvania

Master of Engineering (MEng)

1992 - 1994
Field of Study
Master of Engineering (MEng) - Computer Science
University of CambridgeUniversity of Cambridge
University of Cambridge

Bachelor of Arts (B.A.)

1989 - 1992
Field of Study
Bachelor of Arts (B.A.) - Computer Science

Technical Expertise

Deep expertise across artificial intelligence, probabilistic modeling, and statistical computing, leveraging over two decades of research and development experience.

Core AI/ML
Machine LearningArtificial IntelligenceBayesian statisticsPattern RecognitionStatistical Modeling
Related Domains
Computer VisionData MiningText miningComputational BiologyStatistics

Key Expertise

Expertise

Machine Learning

Expertise

Bayesian Statistics

Expertise

Computer Vision

Expertise

Artificial Intelligence

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