Marie Avril

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About

Marie Avril is a pioneering researcher at the intersection of human-robot interaction and computational synchrony analysis. Her work focuses on understanding the subtle, non-verbal rhythms that underpin social bonding—both between humans and between humans and artificial agents. Avril’s major contribution is the development of **SyncPy**, an open-source Python library for interpersonal synchrony analysis on time series data. Recognized with 9 citations, this tool fills a critical gap by providing a unified framework for researchers studying coordination in fields ranging from psychology to robotics. Her 2018 study on the Jazz robot, though with 2 citations, is conceptually significant: it explores socio-affective collaboration in human-robot play, laying groundwork for designing empathetic artificial companions. Avril’s impact lies in bridging computational methods with social robotics, offering accessible tools that democratize synchrony research. Her work challenges us to consider how machines might read and respond to human emotional rhythms, making her a key voice in the future of socially intelligent robots.