Seminar: Probabilistic topic models of text and users
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David Blei is an associate professor of Computer Science at Princeton University. He earned his Bachelor's degree in Computer Science and Mathematics from Brown University and his PhD in Computer Science from the University of California, Berkeley. He has received several awards, including a Sloan Fellowship (2010), Office of Naval Research Young Investigator Award (2011), Presidential Early Career Award for Scientists and Engineers (2011), and Blavatnik Faculty Award (2013). His research focuses on probabilistic topic models, Bayesian nonparametric methods, and approximate posterior inference. He works on a variety of applications, including text, images, music, social networks, user behavior, and scientific data.