About Kevin Murphy
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.
Education
PhD
PhD - Computer Science
Master of Engineering (MEng)
Master of Engineering (MEng) - Computer Science
Bachelor of Arts (B.A.)
Bachelor of Arts (B.A.) - Computer Science
Work Experience
Principal Scientist
Principal Scientist

Senior Staff Research Scientist
Senior Staff Research Scientist

Staff Research Scientist
AI, Machine Learning, Computer Vision. More details at https://www.cs.ubc.ca/~murphyk/
Associate Professor
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).

Postdoctoral researcher
I worked on probabilistic models for computer vision and mobile robotics.
Technical Expertise
Deep expertise across artificial intelligence, probabilistic modeling, and statistical computing, leveraging over two decades of research and development experience.
Machine Learning
Artificial Intelligence
Bayesian statistics
Pattern Recognition
Statistical Modeling
Computer Vision
Data Mining
Text mining
Computational Biology
Statistics
Computer Science
Python
C++
Matlab
Algorithms
Statistical Computing
Key Expertise
Machine Learning
Bayesian Statistics
Computer Vision
Artificial Intelligence
