Francesco Orabona is an associate professor at KAUST specializing in machine learning theory and practice. He has held research and academic positions at Boston University, Stony Brook University, Yahoo Research, and the Toyota Technological Institute at Chicago. Known for his expertise in ML and interest in the history of science, he maintains an active professional presence and contributes to advancing theoretical and practical aspects of machine learning.

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