Andrew McCallum is a professor 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]
Andrew McCallum | |
|---|---|
| Nationality | American |
| Alma mater | Dartmouth College University of Rochester[2] |
| 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 Google Research |
| Doctoral advisor | Dana H. Ballard[1] |
Career
editMcCallum 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. Since 2002, he worked as a professor of computer science at the University of Massachusetts Amherst. In 2020, he also joined Google as a part-time research scientist.
He was elected as a fellow of the Association for the Advancement of Artificial Intelligence[5] in 2009, and as an Association for Computing Machinery[6] in 2017. From 2014 to 2017 he was the President of International Machine Learning Society (IMLS),[7] which organizes the International Conference on Machine Learning. He is also the director of the Center for Data Science at UMass, leading a new partnership with the Chan and Zuckerberg Initiative. In 2018, the initiative made an initial grant of 5.5 million to the center, supporting research to facilitate new ways for scientists to explore and discover research articles.[8]
Main contributions
editIn collaboration with John D. Lafferty and Fernando Pereira, McCallum developed conditional random fields, first described in a paper presented at the International Conference on Machine Learning (ICML).[9] In 2011 this research paper won the ICML "Test of Time" (10-year best paper) award.[10]
McCallum has written several widely used[11] open-source software toolkits for machine learning, natural language processing and other text processing, including Rainbow,[12] Mallet (software project), and FACTORIE.[13] 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.
McCallum instigated and directs the nonprofit project OpenReview.net, an online platform that aims to promote openness in scientific communication, particularly the peer review process, by providing a flexible cloud-based web interface and underlying database API.[14]
References
edit- ^ "The Mathematics Genealogy Project - Andrew McCallum". Archived from the original on 6 May 2010. Retrieved 2010-05-31.
- ^ "Bio for Andrew McCallum". Archived from the original on 4 June 2010. Retrieved 2010-05-31.
- ^ "Faculty Directory". cs.umass.edu. Archived from the original on 4 June 2010. Retrieved 2010-05-31.
- ^ "Elected AAAI Fellows". Retrieved 2010-05-31.
- ^ "AAAI Fellows Program".
- ^ "All Award Winners". awards.acm.org. Retrieved 2017-12-22.
- ^ "IMLS Board". machinelearning.org. Retrieved 19 March 2015.
President-Elect Andrew McCallum
- ^ "UMass Center for Data Science Partners with Chan Zuckerberg Initiative to Accelerate Science and Medicine". umass.edu. Retrieved 2018-01-26.
- ^ Lafferty, J.; McCallum, A.; Pereira, F.C.N. (2001). "Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data". International Conference on Machine Learning. pp. 79–87.
- ^ "Test-of-Time Award ICML'11". ICML. 2011. Retrieved 15 December 2014.
John D. Lafferty, Andrew McCallum, Fernando C. N. Pereira. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data.
- ^ "Google Scholar search for +mccallum +rainbow +software". Retrieved 2010-05-31.
- ^ "Rainbow". Archived from the original on 26 May 2010. Retrieved 2010-05-31.
- ^ "FACTORIE". Retrieved 2014-05-20.
- ^ "OpenReview".
External links
edit
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