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Columbia University’s Data Science Institute Presents:
DATA SCIENCE DAY

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Dustin Tran

Columbia Engineering
PhD Candidate in Computer Science

Dustin Tran is Ph.D. student in Computer Science at Columbia, where he is advised by David Blei and Andrew Gelman. He works in the fields of Bayesian statistics and machine learning and his research interests include general-purpose inference algorithms, Bayesian nonparametric statistics and hierarchical models, and causal inference.

Tran is also a member of the Blei Lab and the Stan development team. He recentIy transferred to Columbia from a Statistics Ph.D. at Harvard, where he worked with Edo Airoldi and also spent time at the Harvard Intelligent Probabilistic Systems group. During his undergraduate years, Tran studied at Berkeley with a double major in mathematics and statistics.