معرفی
Marc Hulcelle is a post-doctoral researcher at the DiiP Institute (affiliated to Université Paris Cité, 2024-2025) and a recent PhD graduate from Télécom Paris (2020-2023). His work bridges Machine Learning and Sociology, focusing on trust analysis in Human-Robot Interaction and fairness methods in AI for addressing social inequalities.
- Developed the TURIN annotation scheme for longitudinal trust analysis
- Created multimodal computational models leveraging interactionist sociology theories
- Investigated gender disparities in housing access and grammatical gender effects
Research trends combine technical rigor in AI/ML with deep social science insights, including:
- Comparative analysis of mentalist vs. interactionist trust models (HAI 2023)
- Dynamic trust modeling using recurrent neural architectures (ACII 2021)
- Applications in multiparty HRI and social robotics
Prior roles include robotics software engineer at Blue Frog Robotics (2016) and academic exchange at Tohoku University's Space Robotics Lab (2016).
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