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98 Rue saint jean du desert Marseille 12e Arrondissement, Provence-Alpes-Côte d'Azur, 13012 FranceAbout Me I am a computational biologist with a PhD in Neurosciences and postdoctoral training in molecular dynamics simulations and AI-driven biomolecular analysis. I help research labs, biotech startups, and pharmaceutical companies solve complex problems in protein structure, dynamics, and molecular interactions. My unique strength lies at the intersection of molecular dynamics simulations, AI-powered interface analysis, and biophysical understanding. I bridge the gap between experimental data and mechanistic insights. Services I Offer Molecular Dynamics Simulations Protein-ligand interactions, protein-protein complexes, conformational transitions, membrane proteins, lipid rafts. (Tools: NAMD, GROMACS, CHARMM) AI-Driven Interaction Analysis Using my custom platform Perturbation Scanning/IIOS to deconstruct biomolecular interfaces, identify critical residues, and map interaction networks from static structures or MD trajectories. Structure-Based Drug Design Virtual screening, binding free energy calculations, hotspot identification, and in silico optimization of lead compounds. Protein Misfolding & Amyloid Studies Modeling aggregation-prone states, analyzing destabilizing mutations, and designing stabilizers. (Expertise in TTR, Aβ, and amyloid-related proteins) Biomolecular Modeling & Visualization 3D structure building, molecular graphics, and publication-ready figures. (Tools: PyMol, VMD, RDKit) Multi-Omics Data Integration Combining proteomics, lipidomics, or screening data with structural insights using AI/ML approaches. Custom Tool Development Python/PyTorch pipelines for geometric deep learning, graph neural networks, and automated analysis workflows. Why Work With Me? Academic rigor + industry focus PhD + postdoc from top French institutions, 10+ peer-reviewed publications in Q1 journals. Unique AI platform My Perturbation Scanning/IIOS tool provides insights standard methods cannot—residue-wise, force-specific, stage-resolved interaction analysis. End-to-end solutions From raw experimental data (cryo-EM, X-ray, NMR) to dynamic models to actionable predictions. Clear communication I translate complex computational results into biological insights that experimentalists can use. Fast turnaround Efficient pipelines and years of experience mean high-quality results in reasonable timeframes.
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