CV		Bio
		Hal Daumé III is an assistant professor in Computer Science at the University of Maryland, College Park. He holds joint appointments in UMIACS and Linguistics. He was previously an assistant professor in the School of Computing at the University of Utah. His primary research interest is in developing new learning algorithms for prototypical problems that arise in the context of language processing and artificial intelligence. This includes topics like structured prediction, domain adaptation and unsupervised learning; as well as multilingual modeling and affect analysis. He associates himself most with conferences like ACL, ICML, NIPS and EMNLP. He earned his PhD at the University of Southern California with a thesis on structured prediction for language (his advisor was Daniel Marcu). He spent the summer of 2003 working with Eric Brill in the machine learning and applied statistics group at Microsoft Research. Prior to that, he studied math (mostly logic) at Carnegie Mellon University. He still likes math and doesn't like to use C (instead he uses O'Caml or Haskell). He doesn't like shoes, but does like activities that are hard on your feet: skiing, badminton, Aikido and rock climbing. (You may cut the last one or two sentences for a more formal bio.)

Representative Publications:

• Hal Daume III, 2009. Bayesian Multitask Learning with Latent Hierarchies. Proceedings of the Conference on Uncertainty in Artificial Intelligence.
• Hal Daume III, John Langford and Daniel Marcu, 2009. Search-based structured prediction. Machine Learning Journal 75(3).
• Yee Whye Teh, Hal Daume III and Daniel Roy, 2007. Bayesian agglomerative clustering with coalescents. Proceedings of the Conference on Neural Information Processing Systems.
• Hal Daume III, 2007. Frustratingly easy domain adaptation. Proceedings of the Conference of the Association for Computational Linguistics.
• Hal Daume III and Lyle Campbell, 2007. A Bayesian model for discovering typological implications. Proceedings of the Conference of the Association for Computational Linguistics.
• Hal Daume III and Daniel Marcu, 2006. Domain adaptation for statistical classifiers. Journal of Artificial Intelligence Research.
• Hal Daume III and Daniel Marcu, 2006. Bayesian query-focused summarization. Proceedings of the Conference of the Association for Computational Linguistics.