I’m an Assistant Professor in the Department of Computer Science at Brock University. My research focuses on natural language processing and machine learning. I’m fascinated by how society shapes AI models and, in turn, how they are beginning to influence us! This dynamic drives my current research in bias, reasoning, and interpretability in AI systems.
PhD in Computer Science, 2021
McGill University/Mila, Canada
MSc in Computer Science, 2016
McGill University, Canada
BSc in Joint Physics & Computer Science, 2014
McGill University, Canada
2024:
Our paper, STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions has been selected for Oral Presentation at EMNLP 2024.
Our 2 papers have been accepted for publication at the main conference at The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024, November 12-16). Almost all co-authors were undergrads. Way to go! Stay tuned for paper links.
I’ve been invited to give a talk at the FirstOntario Performing Arts Centre, titled In Search of Digital Truth: How Large Language Models are Shaping Our Reality (And How We are Shaping Theirs!), Friday, November 1, at 7 PM. [Details + Get your tickets!]
Honored to receive the 2024 Faculty of Mathematics and Science Excellence in Teaching Award (June).
3 out of 3 submitted papers accepted at the main conference at The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024, August 11-16). Massive congratulations to all collaborators, of which many were undergraduates and first year MSc’s! Stay tuned for the paper links (May).
Our paper “EvoGrad: An open-source platform for Winograd Schema Challenge instances” accepted at The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024, May 20-25). [ArXiv] (May)
Our paper “WSC+: Enhancing The Winograd Schema Challenge Using Tree-of-Experts” accepted as an Oral Presentation at The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL2024, March 17-22). [ACL-Anthology] [ArXiv] (March)
Excited to give a talk at the Brock Faculty of Math and Science’s Anthropocene Research Colloquium Series on Friday, March 8: “Large Language Models: Society’s Silent Mirrors” (March).
2023:
Our paper “Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models” published at The Findings of ACL 2023. [ACL-Anthology] [ArXiv] [Oral Presentation] [News Article] (January)
Published book chapter “Natural Language Processing: Current Methods and Challenges” in Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications. [SpringerLink] [Amazon]
Ali Emami, Assistant Professor of Computer Science
Robert Morabito (2022-2023, Undergraduate; 2024 – Present, MSc)
Kaige Chen (Fall 2024 – Present)
Kazi Nishat Anwar (Fall 2024 – Present, Co-supervised with Dr. Nishat)
Nikta Gohari Sadr (Fall 2023 – Present)
Sarfaroz Yunusov (Fall 2023 – Present)
2024:
In Search of Digital Truth. Feature Presentation, First Ontario Performing Arts Centre, November. [Details + Get your tickets!]
Large Language Models: Society’s Silent Mirrors. Brock Faculty of Math and Science’s Anthropocene Research Colloquium Series, March. [Details]
2023:
2025:
Introduction to Natural Language Processing (COSC 4P84). An advanced course covering algorithms and recent advances in NLP. New course introduced by me. (Fall)
Essentials of Artificial Intelligence (COSC 1P71). Overview of AI principles, ML models, and their real-world applications. New course introduced by me. (Winter)