I am interested in developing statistical as well as language-based computational methods to help scientists further their research. This interest began during my undergrad and continued during my master’s where I most recently developed language techniques to assist qualitative researchers in conducting qualitative analyses. Here is a list of my most recent publications.

Identifying and Analyzing Task-Encoding Tokens in Large Language Models (2024)

Bai, Yu, Heyan Huang, Cesare Spinoso-Di Piano, Marc-Antoine Rondeau, Sanxing Chen, Yang Gao, and Jackie Chi Kit Cheung. Analyzing Task-Encoding Tokens in Large Language Models. arXiv:2401.11323 (2024).

Qualitative Code Suggestion: A Human-Centric Approach to Qualitative Coding (2023)

Cesare Spinoso-Di Piano, Samira Rahimi, and Jackie Cheung. 2023. Qualitative Code Suggestion: A Human-Centric Approach to Qualitative Coding. In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 14887–14909, Singapore. Association for Computational Linguistics.

McGill BabyLM Shared Task Submission: The Effects of Data Formatting and Structural Biases (2023)

Ziling Cheng, Rahul Aralikatte, Ian Porada, Cesare Spinoso-Di Piano, and Jackie CK Cheung. 2023. McGill BabyLM Shared Task Submission: The Effects of Data Formatting and Structural Biases. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 179–192, Singapore. Association for Computational Linguistics.

Mental Health–Related Emergency Department Visits in Adolescents Before and During the COVID-19 Pandemic: A Multicentric Retrospective Study (2021)

Nicholas Chadi, Cesare Spinoso-Di Piano, Esli Osmanlliu, Jocelyn Gravel, Olivier Drouin, “Mental Health–Related Emergency Department Visits in Adolescents Before and During the COVID-19 Pandemic: A Multicentric Retrospective Study”, Journal of Adolescent Health, Volume 69, Issue 5, 2021, doi:10.1016/j.jadohealth.2021.07.036