Enthusiastic cheminformatics researcher with a passion for developing reliable and user-friendly software for drug design. Possesses a strong foundation in computational chemistry coupled with advanced skills in software development and engineering, and experience in AI-driven design. Committed to accelerating and automating drug discovery through innovative research and collaboration.
Co-mentoring two students in projects related to MDAnalysis and cheminformatics packages (RDKit and OpenBabel).
Volunteer work for the design and maintenance of the consortium webpage
Developed a new Python module for the MDAnalysis package:
Developped ChemFlow, a series of computational chemistry workflows:
Author and maintainer
Affiliation: ChemoSim Lab, Institut de Chimie de Nice, UMR 7272, Université Côte d'Azur, France
Molecular basis of chemosensory perception
Molecular modeling, cheminformatics, machine-learning, data science, chemosensory GPCRs, software and web development
Development of QSAR models for the prediction of gustative and olfactive properties
Diploma received with honors
Calculation of binding affinities of ligand-receptor complexes from MD simulations, using the MM/PBSA approach
Construction of 3D models of bitter taste receptors using homology modeling and MSA
Lecture given to middle school students
For first year bachelor students (L1)
For second year bachelor students (L2)
Video-games, electric bass, snowboard, badminton. I also develop and contribute to open-source computational chemistry tools such as mols2grid, ProLIF, or MDAnalysis.