Mathilde Boissier

Mathilde Boissier

Chercheur Postdoctoral Dans L'équipe Steep @ Inria

About Mathilde Boissier

Mathilde Boissier is a postdoctoral researcher in the STEEP team at Inria, focusing on numerical MFA-type models for decision-making support. She has a background in applied mathematics and has conducted research in various institutions, including École Polytechnique and Lehigh University.

Work at Inria

Mathilde Boissier currently holds the position of Chercheur Postdoctoral within the STEEP team at Inria in Grenoble. She has been part of this research team since 2021. Her work focuses on integrating numerical MFA-type models into participatory processes aimed at supporting decision-making. This role allows her to contribute to advancements in computational modeling and its applications in real-world scenarios.

Education and Expertise

Mathilde Boissier has a solid educational background in applied mathematics. She studied at École Polytechnique, where she earned her Master's degree in Mathématiques appliquées from 2013 to 2017. She furthered her education at Université Pierre et Marie Curie, achieving a Master 2 (M2) in Mathématiques appliquées (ANEDP) from 2016 to 2017. Her academic training provides a strong foundation for her research endeavors.

Research Experience

Prior to her current role at Inria, Mathilde Boissier gained valuable research experience through various internships. She worked at Lehigh University in 2016 for four months, and at École Polytechnique in 2017 for another four months. These positions allowed her to develop her research skills and contribute to different projects in applied mathematics. Since November 2021, she has been involved in research activities in Grenoble, further enhancing her expertise.

Previous Work Experience

Mathilde Boissier has held several positions that contributed to her professional development. In 2015, she completed a two-month engineering internship at Hoare Lea in Bristol, UK. This experience provided her with practical skills in engineering. Her diverse work history includes research internships and a focus on applied mathematics, which has shaped her current research interests.

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