| Andrew McCallum | |
|---|---|
| Nationality | United States |
| Fields | Computer Science, Artificial Intelligence |
| Institutions | WhizBang Labs University of Massachusetts Amherst |
| Alma mater | Dartmouth College University of Rochester[1] |
| Doctoral advisor | Dana Ballard[2] |
| Doctoral students | Wei Li, Charles Sutton, Xuerui Wang, Aron Culotta |
| Known for | Conditional random field |
| Notable awards | ICML Test of Time (2011) |
Andrew McCallum is a professor and researcher in the computer science department at University of Massachusetts Amherst.[3] His primary specialties are in machine learning, natural language processing, information extraction, information integration, and social network analysis.[4]
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 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.[1]
In 2009 he was elected a fellow of the Association for the Advancement of Artificial Intelligence.[5]
In collaboration with John Lafferty and Fernando Pereira, he developed Conditional random fields.[6] In 2011 this research paper won the "Test of Time" (10 year best paper) award at the International Conference on Machine Learning (ICML).
McCallum has written several widely-used[7] open-source software toolkits for machine learning, natural language processing and other text processing, including Rainbow,[8] Mallet (software project), and FACTORIE.[9] In addition, he was instrumental in publishing the Enron Corpus, a large collection of emails that has been used as a basis for a number of academic studies of social networking and language.