Biographical Information

• Associate Professor, Department of Computer Science, University of Massachusetts Amherst, (2003-present)
• Research Associate Professor, Department of Computer Science, University of Massachusetts Amherst, (2002-2003)
• VP, Research and Development WhizBang! Labs; Director, WhizBang! Labs, East, (2000-2002.)
• Adjunct Faculty, Carnegie Mellon University, Center for Automated Learning and Discovery & Language Technologies Institute, (1998-2002).
  Research Scientist, Research Coordinator, Just Research (formerly JPRC), (1997-2000).
• Postdoctoral Fellow, Carnegie Mellon, Computer Science with Sebastian Thrun and Tom Mitchell, 1996.
• Ph.D., University of Rochester, Computer Science, with Dana Ballard, 1995.
• B.A., Dartmouth College, 1989.
• H.S., NCSSM, 1985.

Current Bio Sketch:

Andrew McCallum is an Associate Professor and Director of the 15-person Information Extraction and Synthesis Laboratory in the Computer Science Department at University of Massachusetts Amherst. He was previously Vice President of Research and Development at WhizBang Labs, a company that used machine learning for information extraction from the Web. In the late 1990's he was a Research Scientist and Coordinator at Justsystem Pittsburgh Research Center, where he spearheaded the creation of CORA, an early research paper search engine that used machine learning for spidering, extraction, classification and citation analysis. McCallum received his PhD from the University of Rochester in 1995, followed by a post-doctoral fellowship at Carnegie Mellon University.

He is the recipient of two NSF ITR awards, the UMass NSM Distinguished Research Award, the UMass Lilly Teaching Fellowship, and the IBM Faculty Partnership Award. He is the Program Co-chair for the International Conference on Machine Learning (ICML) 2008, and a member of the boards of the International Machine Learning Society, the CRA Community Computing Consortium and the editorial board of the Journal of Machine Learning Research. He has given tutorials or invited talks on information extraction at NIPS, KDD, ACL, MSRA, and elsewhere.

For the past ten years, McCallum has been active in research on statistical machine learning applied to text, especially information extraction, co-reference, information integration, document classification, clustering, finite state models, semi-supervised learning, and social network analysis. New work on search and bibliometric analysis of open-access research literature can be found at http://rexa.info. McCallum's web page: http://www.cs.umass.edu/~mccallum.

Previous Bio Sketch:

Andrew McCallum is an Associate Professor at University of Massachusetts, Amherst. He was previously Vice President of Research and Development at WhizBang Labs, a company that used machine learning for information extraction from the Web. In the late 1990's he was a Research Scientist and Coordinator at Justsystem Pittsburgh Research Center. He was a post-doctoral fellow at Carnegie Mellon University after receiving his PhD from the University of Rochester in 1995. He is on the editorial board of the Journal of Machine Learning Research. For the past eight years, McCallum has been active in research on statistical machine learning applied to text, especially information extraction, document classification, finite state models, and semi-supervised learning. Web page: http://www.cs.umass.edu/~mccallum.

Older Bio Sketches:

• Bio while VP at WhizBang Labs
• Bio from preface to Ph.D. thesis