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Yoav Freund is a Professor at the Halıcıoğlu Data Science Institute at UC San Diego. He works on the applications of machine learning algorithms in various domains such as bioinformatics, computer vision, finance, and network routing, as well as high-performance computing. His current research focuses on the development and analysis of adaptive algorithms that alter their behavior based on learning examples, rather than relying on fixed programming strategies. He has served as a senior research scientist at Columbia University, specializing in computational learning systems and machine learning development. His extensive experience also includes a role at AT&T Labs, formerly known as Bell Labs, where he contributed to advancements in machine learning technologies.
Administered by the Scripps Institution of Oceanography. Curricular groups include Climate-Ocean-Atmosphere (COAP), Geosciences (GEO), and Ocean Biosciences (OBP).