Lyle H. Ungar is a machine learning researcher and professor of Computer and Information Science at the University of Pennsylvania.
[2] Ungar's published research has been primarily in the area of machine learning, specifically text mining.
[3][1] According to his website, his research group "develops scalable machine learning and text mining methods, including clustering, feature selection, and semi-supervised and multi-task learning for natural language, psychology, and medical research.
"[1] Ungar has also done some research in the domain of forecasting, in connection with his membership in The Good Judgment Project, a collaborator of the Aggregative Contingent Estimation (ACE) program of the Intelligence Advanced Research Projects Agency (IARPA).
[4][5][6] Ungar is a member of many associations and bodies devoted to advancing machine learning and related areas.