Dan Roth
Dan Roth researches the connections between machine learning, reasoning and natural-language understanding. He earned his Harvard doctorate in 1995 after mathematics study at the Technion. His work includes learning-centered approaches to language problems and the foundations of learning and inference. AAAI elected him a Fellow in 2009. He received the IJCAI John McCarthy Award in 2017 and edited the Journal of Artificial Intelligence Research until February of that year. He was a Penn professor in 2019.
- Works
- 729
- Citations
- 30,394
- h-index
- 84
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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1995
Doctoral study in computer science
Roth received his Harvard doctorate in computer science in 1995, following mathematics study at the Technion. Roth received this education at Harvard and the Technion.
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Research career
Learning-centered language methods
Roth’s research covers machine learning, natural-language processing, knowledge representation and reasoning. His work includes learning-centered solutions to language problems and contributions to the foundations of learning and inference. He also developed language tools based on machine learning.
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2009
AAAI fellowship
AAAI elected Roth a Fellow in 2009. His fellowship recognizes work in learning and inference and natural-language applications. At the time of his election, Roth was affiliated with Illinois.
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2017–2019
Recognition and research service
Roth received the IJCAI John McCarthy Award in 2017 for advances in language understanding, learning and reasoning. He edited JAIR until February 2017 and held a professorship at Penn in 2019.
Sources and credits
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