Efficient inference for machine learning models with complex latent structure; modeling natural language structures, such as morphology, syntax, and semantics; modeling the mutations in texts as they propagate through social networks and in language across space and time; interactive information retrieval and machine learning for expert users.
David A. Smith is an assistant professor in the College of Computer and Information Science and a founding member of the NULab for Texts, Maps, and Networks, Northeastern’s center for the digital humanities and computational social sciences.
Before his Ph.D. in Computer Science from the Johns Hopkins University, which he completed in 2010, he received a B.A. summa cum laude in Classics (Greek) from Harvard and worked for Tufts’ Perseus Digital Library Project, one of the most widely-used linguistic and cultural research systems in the humanities. Prior to joining Northeastern, he was a research assistant professor at the University of Massachusetts, Amherst. Professor Smith has published widely in the areas of natural language processing and computational linguistics, information retrieval, digital libraries, digital humanities, and political science. His research has been funded by the NSF, NEH, DARPA, ONR, AFRL, the Mellon Foundation, and Google.
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