Andrew McCallum | |
---|---|
Nationality | United States |
Alma mater |
Dartmouth College University of Rochester |
Known for | Conditional random field |
Awards | ICML Test of Time (2011) |
Scientific career | |
Fields | Computer Science, Artificial Intelligence |
Institutions |
WhizBang Labs University of Massachusetts Amherst |
Doctoral advisor | Dana H. Ballard |
Doctoral students | Wei Li, Charles Sutton, Xuerui Wang, Aron Culotta, David Mimno, Sameer Singh |
Andrew McCallum is a professor and researcher in the computer science department at University of Massachusetts Amherst. His primary specialties are in machine learning, natural language processing, information extraction, information integration, and social network analysis.
McCallum graduated summa cum laude from Dartmouth College in 1989. He completed his Ph.D. at University of Rochester in 1995 under the supervision of Dana H. Ballard. He was then a postdoctoral fellow, working with Sebastian Thrun and Tom M. Mitchell at Carnegie Mellon University. From 1998 to 2000 he was a Research Scientist and Research Coordinator at Justsystem Pittsburgh Research Center. From 2000 to 2002 was Vice President of Research and Development at WhizBang Labs, and Director of its Pittsburgh office.
In 2009 he was elected a fellow of the Association for the Advancement of Artificial Intelligence.
He is now the president-elect of International Machine Learning Society (IMLS), which supports the International Conference on Machine Learning.
In collaboration with John Lafferty and Fernando Pereira, McCallum developed conditional random fields, first described in a paper presented at the International Conference on Machine Learning (ICML). In 2011 this research paper won the ICML "Test of Time" (10-year best paper) award.