PhD Candidate; Vanier Scholar
Mohamed Abdalla is a PhD student in the Natural Language Processing Group (Department of Computer Science) at the University of Toronto and a Vanier scholar, advised by Professor Frank Rudzicz and Professor Graeme Hirst. He holds affiliations with: i) Vector Institute for Artificial Intelligence, ii) Centre for Ethics, iii) ICES (formerly known as the Institute for Clinical and Evaluative Sciences).
Exploring the privacy-preserving properties of word embeddings: Algorithmic Validation
Journal of Medical Internet Research (JMIR); (2020)
Abdalla M, Abdalla M, Hirst G, Rudzicz F.
Using Word Embeddings to Improve the Privacy of Clinical Notes
Journal of the American Medical Informatics Association (JAMIA); (2020)
Abdalla M, Abdalla M, Rudzicz F, Hirst G.
Survey: Word Embeddings for Clinical Data
Journal of Biomedical Informatics: X ; (2019)
Khattak F, Jeblee S, Pou-Prom C, Meany C, Abdalla M, Rudzicz F.
Rhetorical structure and Alzheimer's disease
Abdalla M, Rudzicz F, Hirst G.
The Grey Hoodie Project: Big Tobacco, Big Tech, and the threat on academic integrity
In Proceedings, Artificial Intelligence, Ethics, and Society (AIES); (2021)
Abdalla M, Abdalla M
Media Coverage: [WIRED Article] [VentureBeat Article] [FastCompany Article]
Talks: [Centre for Ethics Talk] [Future of Life Podcast]
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings
ACM Conference on Health, Inference, and Learning (CHIL); (2020)
Zhang H*, Lu A*, Abdalla M, McDermot M, Ghassemi M.
Enriching Word Embeddings without Labeled Corpora
In Proceedings, 33rd AAAI Conference on Artificial Intelligence (AAAI); (2019)
Abdalla M, Sahlgren M, Hirst G.
Cross-Lingual Sentiment Analysis Without (Good) Translation
In Proceedings of the Eighth International Joint Conference on Natural Language Processing (IJCNLP); (2017)
Abdalla M, Hirst G.