معرفی
Blanche Buet is an Assistant Professor in the Harmonic Analysis group at the Laboratory of Mathematics of Orsay (Université Paris-Saclay, France) since 2015. She is affiliated with the INRIA DataShape Team (Paris-Saclay) since 2020. Her research focuses on geometric measure theory, varifold analysis, and curvature estimation in discrete settings. Buet's work bridges theoretical mathematics with applications in data analysis and geometric modeling.
Education: PhD in Mathematics (2014, Lyon 1) under supervisors Simon Masnou and Gian Paolo Leonardi. ATER (teaching/research position) during 2011-2015.
Research Interests: Specializes in varifold theory for surface approximation, curvature computation for point clouds, and quantitative rectifiability conditions. Develops numerical methods for geometric data analysis using tools from harmonic analysis and functional analysis.
Recent Work Trends: Recent publications (2022-2023) emphasize varifold-based approaches for mean curvature motion, weak curvature approximation, and flagfold structures. Collaborations with INRIA focus on geometric data science applications.
Awards: None explicitly mentioned in provided texts.
Students/Grants: Advises PhD students C. Boricaud (since 2021) and A. Sagueni (since 2020). Involved in ANR GeMfaceT project. Active in securing funding through collaborative initiatives.
Labs/Teams: Core member of Laboratoire de Mathématiques d'Orsay (UMR 8628) and INRIA DataShape team, contributing to interdisciplinary projects in geometric data analysis.
