Open-minded, curious, independent and hard-working.
PhD student passionate about fundamental physical chemistry, teaching, research and culture.
Education
2024 - 2027
Sorbonne Université
PhD student in Computational and Theoretical Chemistry.
Development of hybrid potentials combining neural networks and physical laws, applied to biological systems.
2018 - 2020 Université de Paris Double Bachelors’s degree in Physics and Chemistry.
Experiences
Theoretical Chemistry
2024 Four months internship at Sorbonne Université Paris, France.
Development of hybrid potentials combining neural networks and physical laws.
2023 Six months internship at Qubit Pharmaceuticals Paris, France.
Hybrid potential development combining neural networks and physical laws. Technologies transfer between university and startup. Building, using and training neural networks.
2023 Six months internship at the Institute of Light and Matter (ILM) University of Lyon, France.
Conformational dynamics studies of the HSP90-NTD protein via Molecular Dynamics simulation and Markov State Modelling.
Theoretical Chemistry
2021 Two months internship at the Institute of Physical Chemistry (ICP) University of Orsay, France.
Understanding the redox properties of cytochrome bd in various organisms using the Density Functional Theory.