Tim O’Donnell is a Canada CIFAR AI Chair at Mila and an assistant professor at the Department of Linguistics at McGill University.
O’Donnell develops mathematical models of language generalization, learning, and processing. His research draws on experimental methods from psychology, formal modeling techniques from natural language processing, theoretical tools from linguistics, and problems from all three. He studies problems of language learning and generalization by combining theories of representation drawn from the linguistics literature with modern tools of statistical computation.
- William Dawson Scholar, McGill University, 2018
- Cognitive Science Society Computational Modelling Prize for Language, 2011
Hoover, J. L., Sordoni, A., Du, W., & O’Donnell, T. J. (2021). Linguistic dependencies and statistical dependence.
Socolof, M., Cheung, J. C. K., Wagner, M., & O’Donnell, T. J. (2021). Characterizing Idioms: Conventionality and Contingency.
Bergen, L., Bahdanau, D., & O’Donnell, T. J. (2021). Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention.
Watt, M. C., Braginsky, M., & O’Donnell, T. (2021). Processing differences among irregular inflection classes. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 43, No. 43).
Harasim, D., O’Donnell, T., & Rohrmeier, M. A. (2021). The Learnability of Goal-directedness in Jazz Music. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 43, No. 43).
CIFAR is a registered charitable organization supported by the governments of Canada, Alberta and Quebec, as well as foundations, individuals, corporations and Canadian and international partner organizations.