🎓 MSc Bioinformatics student at Université Clermont Auvergne (France)
💻 Exploring the crossroads of AI, Computational Biology, and Structural Bioinformatics
🧬 Passionate about understanding life through data and algorithms

I’m currently pursuing a Master’s degree in Bioinformatics, funded by the Excellence Scholarship in Artificial Intelligence (Cluster MIAI 2025–2026).
My goal is to combine deep learning and molecular biology to improve drug discovery and protein modeling.

I love learning new technologies, analyzing biological data, and finding creative ways to represent complex biological systems.

• Machine Learning (classification, clustering, CNNs, transformers)
• Data preprocessing, feature engineering & model evaluation

• Sequence analysis (FASTA/FASTQ, BLAST, differential expression)
• Protein structure prediction with AlphaFold, ESMFold
• Genomics & transcriptomics pipelines
• Databases: UniProt, PDB, NCBI, ChEMBL, Tox21, Ensembl, Bioconductor
• Molecular docking & virtual screening (AutoDock Vina, Meeko)
• Cheminformatics & ADME filtering (RDKit, Morgan fingerprints)
• Structure-based ML for drug discovery (scikit-learn)
• PDB/PubChem API automation (Python)

🎓 MSc in Bioinformatics (2024–2026) — Université Clermont Auvergne, France
📘 Excellence Scholarship in Artificial Intelligence – Cluster MIAI 2025–2026

🎓 BSc in Life Sciences (Molecular & Computational Biology) — Université Clermont Auvergne

🎸 Professional Conservatory Studies in Classical Guitar (2015–2021)
🐾 Veterinary Assistant Diploma (2022–2023)

🧫 Bioinformatics Internship – Oxford Brookes University, Oxford, UK (June-July 2026)

End-to-end in silico drug discovery pipeline targeting Mps1/TTK kinase (PDB: 5LJJ), a mitotic checkpoint regulator overexpressed in aggressive cancers. Built an automated pipeline combining structure-based virtual screening (AutoDock Vina), hinge-region interaction analysis (Gly605/Glu603), ADME/PAINS filtering (RDKit), and a Ridge Regression model (R²=0.706, LOOCV) trained on physicochemical and structural features to predict binding affinity. Extended to novel candidate discovery via PubChem structural similarity search.

🧩 Bioinformatics Internship – iGReD, Clermont-Ferrand, France (Feb 2025)

Application of bioinformatics tools to study chromatin structure using 3D bioimaging and structural biology methods.

🧬 Molecular Biology Internship – iGReD, Clermont-Ferrand, France (June 2025)

Research on regulation mechanisms of transposable elements in Drosophila germline.

🧠 Deep learning applied to biological sequences and protein modeling
💊 AI-driven drug discovery — molecular docking, ADME filtering, and ML-based binding affinity prediction
🧫 Treatement of antibiotic resistant bacterium using AI tools

I’m also a musician 🎶 (classical guitar trained at conservatory), nature lover 🌲, and sports enthusiast 🏐.
You’ll often find me hiking, playing volleyball or padel, and listening to classical music while coding.

📧 [email protected]
📍 Clermont-Ferrand, France

⭐️ Thanks for stopping by! I’m always open to collaborations in bioinformatics and AI for life sciences.