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Julian McAuley is a professor at the Halıcıoğlu Data Science Institute, University of California, San Diego. His research focuses on the linguistic, temporal, and social dimensions of opinions and behaviors within social networks and online communities. He explores how data science tools can enhance the understanding of various aspects of people's preferences and the processes that lead them to acquire tastes in gourmet foods and beverages, as well as in their visual fashion choices. McAuley's work has gained significant academic interest, as well as media attention, by analyzing large volumes of user data from online social platforms such as Amazon, Yelp, Facebook, and BeerAdvocate. His research also includes the application of artificial intelligence in fashion selection and the development of data-driven models, notably in creating step-charts for the globally popular video game, Dance Revolution.
Administered by the Scripps Institution of Oceanography. Curricular groups include Climate-Ocean-Atmosphere (COAP), Geosciences (GEO), and Ocean Biosciences (OBP).