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David Blei Professor of Statistics and Computer Science, Columbia University Verified email at columbia.edu - Homepage Machine Learning Statistics Probabilistic topic models Bayesian...
David Meir Blei is a professor in the Statistics and Computer Science departments at Columbia University. Prior to fall 2014 he was an associate professor in the Department of Computer Science at Princeton University.
Blei earned his Bachelor's degree in Computer Science and Mathematics from Brown University (1997) and his PhD in Computer Science from the University of California, Berkeley (2004). Before joining Columbia, he was an Associate Professor of Computer Science at Princeton University (2006-2014).
David M. Blei│Professor Columbia University;Department of Computer Science, Columbia University 2023 AI 2000 Most Influential Scholar Award Honorable Mention in Information Retrieval and Recommendation 2021 AI 2000 Most Influential Scholar Award Honorable Mention in Data Mining
Blei is recognized for significant contributions to machine learning, information retrieval, and statistics. His signature accomplishment is in the machine learning area of “topic modeling", which he pioneered in the foundational paper “Latent Dirichlet Allocation” (LDA).
David Blei joined Columbia in Fall 2014 as a Professor of Computer Science and Statistics. His research involves probabilistic topic models, Bayesian nonparametric methods, and approximate posterior inference.