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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
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.
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.)
Hal Daumé III
University of Maryland
A.V. Williams #3227
College Park, MD 20742
(f) 301-405-6707 (public: please include a cover sheet)
credits: design and font inspired by Seth Able's LoRD, some images converted to ANSI using ManyTools, original drawing of me by anonymous.
last updated on twelve may, two thousand eightteen.