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Frank Rudzicz

Appointment

Canada CIFAR AI Chair

Pan-Canadian AI Strategy

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About

Appointed Canada CIFAR AI Chair – 2017

Renewed Canada CIFAR AI Chair – 2023

Frank Rudzicz is an Associate Professor in the Faculty of Computer Science at Dalhousie University. His research is in machine learning in healthcare, especially in natural language processing, speech recognition, and surgical safety. Frank completed his PhD in the Department of Computer Science at the University of Toronto and his Master’s in Electrical and Computer Engineering from McGill University. Frank was also the co-founder and President of WinterLight Labs, which successfully exited in 2023.

Awards

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

Relevant Publications

  • Wang, X., Mercer, R. E., & Rudzicz, F. (2024). Auxiliary knowledge-induced learning for automatic multi-label medical document classification. LREC-COLING.
  • Latypov, T. H., So, M. C., Hung, P. S.-P., Tsai, P., Walker, M. R., Tohyama, S., ... Hodaie, M. (2023). Brain imaging signatures of neuropathic facial pain derived by artificial intelligence. Nature Scientific Reports, 13(10699).
  • Sahak, E., Zhu, Z., & Rudzicz, F. (2023). A state-vector framework for dataset effects. EMNLP.
  • Kostas, D., Aroca-Ouellette, S., & Rudzicz, F. (2021). BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data. Frontiers in Human Neuroscience 15, 653659.
  • 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.

Institution

Dalhousie University

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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