I’m a Research Machine Learning Scientist at Layer 6, TD Bank in Toronto. Before joining Layer 6, I got my PhD from the Artificial Intelligence (AI) group in the Department of Computer Science at the University of Toronto. I was supervised by Professor Yang Xu and studied the interplay between language, morality, and AI. An overview of my work is available here.
Publications
Ramezani, A., Stellar, J.E., Feinberg, M., and Xu, Y. Historical reconstruction of human moralization with word association and text corpora. Nature Communications pdf, code, api.
Ramezani, A., and Xu, Y. The discordance between embedded ethics and cultural inference in large language models. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP) pdf, code.
Zhu, W., Ramezani, A., and Xu, Y. Visual moral inference and communication. In Proceedings of the 47th Annual Meeting of the Cognitive Science Society. Disciplinary Diversity and Integration Award. pdf, code
Ramezani, A., Stellar, J.E., Feinberg, M., and Xu, Y. Evolution of the moral lexicon. Open Mind (2024). pdf, code
Ramezani, A., Liu, E., Lee, S., and Xu, Y. Quantifying the emergence of moral foundational lexicon in child language development. PNAS Nexus (2024). pdf, code
Ramezani, A., and Xu, Y. Moral association graph: A cognitive model for automated moral inference. Topics in Cognitive Science. Disciplinary Diversity and Integration Award. pdf, code. Shorter version appeared in Proceedings of the 46th Annual Meeting of the Cognitive Science Society
Ramezani, A., and Xu, Y. Knowledge of cultural moral norms in large language models. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023). pdf, code
Ramezani, A., Stellar, J.E., Feinberg, M., and Xu, Y. Evolution of moral semantics through metaphorization. In Proceedings of the 44th Annual Meeting of the Cognitive Science Society. pdf, code
Ramezani, A., Liu, E., Ferreira Pinto Jr., R., Lee, S., and Xu, Y. The emergence of moral foundations in child language development. In Proceedings of the 44th Annual Meeting of the Cognitive Science Society. pdf
Ramezani, A., Zhu, Z., Rudzicz, F., and Xu, Y. An unsupervised framework for tracing textual sources of moral change. Findings of the Association for Computational Linguistics: EMNLP 2021. pdf, code
Education
- PhD in Computer Science, University of Toronto, September 2020 – December 2025
- BSc in Computer Engineering, Sharif University of Technology, September 2016 - July 2020
Work Experience
- Research Machine Learning Scientist, Layer 6 AI, TD Bank, 2026
- Postdoctoral researcher, Data Science Institute, Department of Computer Science, University of Toronto, 2026
- Intern of Technical Staff, Cohere, 2025
- Research and Development Intern, Microsoft + Nuance communications, 2023
Awards
- DSI Postdoctoral fellowship, 2025
- Schwartz Reisman Institute for Technology and Society Graduate Affiliate, 2022-2025.
- Cognitive Science Society Disciplinary Diversity & Integration Award, 2024, 2025.
- Schwartz Reisman Institute for Technology and Society Graduate Fellowship, 2021-2022.
- Iran’s National Elites Foundations, 2016-2020.
