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Jackie Zhou (’25 MSc) completed her M.Sc. in Psychology at the MAPLE lab. Her thesis investigated new methodological tools for studying how listeners perceive emotion in music outside the common practice period. Jackie’s research lies at the intersection of music cognition, music theory, and computational modeling, with a focus on emotional expression in music across history and style. In this work, she developed statistical models of musical cues and advanced methods for analyzing expressive features in repertoires ranging from Bach to Debussy. When she’s not in front of a dataset, you can usually find her running around on a badminton court. |
Awards and Recognitions |
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Canadian Graduate Scholarship (2024-2025) McMaster School of Graduate Studies Travel Award (2024) |
Publications |
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Zhou, J. Z. Q., Swierczek, K., & Schutz, M. (under review). Beyond the binary: Viewing modality on a spectrum. Journal of New Music Research. Zhou, J., Anderson, C. J., & Schutz, M., (2023, October). Accuracies in algorthimic predictors of musical emotion. Proceedings of the Acoustics Week in Canada, 51 (3). |
Conference Presentations |
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Zhou, J., & Schutz, M. (2024, July). Continuous Measures of Musical Mode: Integrating Human Perception and Computational Models. (Poster). Presented at the Society for Music Perception and Cognition Conference. Banff, AB, Canada.Zhou, J., & Schutz, M. (2024, February). Decoding emotions in music: Exploring the relationships of algorithmic predictors. (Poster). Presented at the 51st Annual Lake Ontario Visionary Establishment Conference. Niagara Falls, ON, Canada.Zhou, J., Anderson, C. J., & Schutz, M. (2023, November). Relying on AI in music analysis: An evaluation of predictive consistency. (Poster). Presented at the 19th Annual McMaster Neuromusic Conference. Hamilton, ON, Canada.Zhou, J., Anderson, C. J., & Schutz, M. (2023, October). Accuracies in algorithmic predictors of musical emotion. (Presentation). Presented at the Acoustics Week in Canada Conference 2023. Montréal, QC, Canada.Zhou, J., Anderson, C. J., & Schutz, M. (2023, April). Analysing algorithmic predictors of emotion in music. (Poster). Presented at the McMaster Undergraduate Thesis Poster Day. Hamilton, ON, Canada.Delle Grazie, M., Zhou, J., & Anderson, C. (2023, March). Modality and Music Perception. (Panel). Presented at the 2nd Annual York University Annual Graduate Music Students Association Colloquium. Toronto, ON, Canada.Zhou, J., Anderson, C., Schutz, M. (2023, February). Analyzing algorithmic predictors of emotion in music. (Poster). Presented at the 50th Annual Lake Ontario Visionary Establishment Conference. Niagara Falls, ON, CanadaZhou, J., Anderson, C., & Schutz, M. (2022, November). Exploring algorithmic predictions of emotion in music. (Poster). Presented at the 18th Annual McMaster Neuromusic Conference. Hamilton, ON, Canada. |

