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Frank Rudzicz

Appointment

Canada CIFAR AI Chair

Pan-Canadian AI Strategy

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About

Frank Rudzicz is a Canada CIFAR AI Chair at the Vector Institute and an associate professor in the department of computer science at the University of Toronto. He is a scientist at the International Centre for Surgical Safety and Li Ka Shing Knowledge Institute of the St. Michael’s Hospital where he is applying natural language processing and machine learning to various tasks in healthcare. Rudzicz is also the co-founder and president of WinterLight Labs and the director of AI at Surgical Safety Technologies.

Rudzicz’s interests include speech, language, machine-learning, brain-computer interfaces, healthcare, and applying AI into practice.

Awards

  • Connaught Innovation Award, 2018
  • Ontario Early Researcher Award, 2016
  • Excellence in Applied Research Award, National Speech-Language & Audiology Canada, 2016

Relevant Publications

  • Khattak, F. K., Jeblee, S., Pou-Prom, C., Abdalla, M., Meaney, C., & Rudzicz, F. (2019). A survey of word embeddings for clinical text. Journal of Biomedical Informatics: X, 4, 100057.

  • Shen, J. H., & Rudzicz, F. (2017). Detecting anxiety through reddit. In Proceedings of the Fourth Workshop on Computational Linguistics and Clinical Psychology—From Linguistic Signal to Clinical Reality (pp. 58-65).

  • Fraser, K. C., Meltzer, J. A., & Rudzicz, F. (2016). Linguistic features identify Alzheimer’s disease in narrative speech. Journal of Alzheimer’s Disease, 49(2), 407-422.

  • Rudzicz, F., Namasivayam, A. K., & Wolff, T. (2012). The TORGO database of acoustic and articulatory speech from speakers with dysarthria. Language Resources and Evaluation, 46(4), 523-541.

  • Mengistu, K. T., & Rudzicz, F. (2011). Adapting acoustic and lexical models to dysarthric speech. In 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 4924-4927). IEEE.

Institution

University of Toronto

Vector Institute

Department

Computer Science

Education

  • PhD (Computer Science), University of Toronto
  • MEng (Electrical and Computer Engineering), McGill University

Country

Canada

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