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Bio

Hal Daumé III is an associate professor in Computer Science at the University of Maryland, College Park; he is currently on leave at Microsoft Research, New York City. 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, where he has published over 100 papers. He has received several "best of" awards, including at NAACL 2016, NIPS 2015, CEAS 2011 and ECML 2009. 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.)


Contact Information:

Hal Daumé III
Computer Science
University of Maryland
A.V. Williams #3227
College Park, MD 20742

(o) 301-405-1073
(f) 301-405-6707 (public: please include a cover sheet)
(skype) haldaume3
(aim) sh4d0wbyt3
(twitter) @haldaume3

Representative Publications:



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last updated on twelve may, two thousand eightteen.