Inderjeet Mani has worked as a researcher in natural language processing for several decades, contributing fundamental innovations in a variety of areas including automatic summarization, extraction of information about time and space from language, the interpretation of narrative, and evaluation.
He has published 92 papers and six books, with a seventh due out later this year. He has served on the Editorial Board of the Computational Linguistics and Natural Language Engineering journals, and also served on the Program Committees of most of the key conferences in the field, and reviewed for many language-processing and AI-related journals, including Artificial Intelligence, Proceedings of the National Academy of Sciences, several of the ACM Transactions journals, Information Processing and Management, Journal of Artificial Intelligence Research, Bioinformatics, Information Retrieval, Journal of the American Society for Information Science and Technology, etc. His employers have included Cambridge University, Brandeis University, Georgetown University, The MITRE Corporation, The Microelectronics and Computer Technology Corporation, and Texas Instruments, Inc.
His prior research has been funded by these institutions as well as DARPA, NSF, NIH, EPSRC, and other governmental agencies. As someone who has floated easily between academia and industry, he enjoys stirring up enthusiasm about new ideas and embodying them in useful systems and sharable resources.
Most of all, he loves team-work and discovering and nurturing the talents of his colleagues. He is an experienced professor and lecturer, and has recently been developing new methods for teaching mathematics to children from disadvantaged communities.
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