Technical & Professional Skills

Computational Biology & Data Science

• Programming Languages: Python (Data analysis, ML, scripting), R (Statistics, Bioinformatics), Bash/Shell, SQL, Neo4j (Graph databases), Java, Rust & C (Basic), Swift/iOS (Basic).
• Tools & Infrastructure: Docker & Dev Containers, Environments (Conda, uv, renv, pixi), Git & GitHub, HPC (Slurm clusters), VPS & Cloudflare, Nextflow pipelines, Quarto, Typst, Marimo.
• Machine & Deep Learning: PyTorch, TensorFlow, Scikit-learn, Hugging Face (Transformers), Computer Vision (OpenCV, YOLO), Generative AI & local LLMs (Ollama), RAG & Knowledge Graphs.
• Data & Sequence Analysis: Single-cell RNA-seq (Scanpy, Seurat), NGS QC & Alignment, Phylogenomics & Sequence Alignment (OrthoFinder, MAFFT, IQ-TREE).

Life Sciences & Clinical Exposure

• Clinical Immersion: Surgical Oncology (Clinique de l’Anjou) & Medical Genetics (CHU de Rennes) observations, Multidisciplinary Team Meetings (RCP), translational research workflows.
• Experimental Biology: High-throughput phenotyping & robotic imaging, phytohormone application, in vitro/in vivo cultivation, Biosafety Level 2 (S2) green-house operations, plant pathogen inoculation (Erwinia amylovora, Alternaria brassicicola), GMO manipulation.

Professional & Soft Skills

• Core Capabilities: Analytical Thinking (FAIR principles), Scientific Communication (reports, oral presentations, Quarto formatting), Adaptability across wet-lab and dry-lab.
• AI-Augmented Development: Pro in using AI pair-programmers (Claude Code, custom agents, APIs, MCP servers) for rapid software prototyping and debugging.
• Languages: French (Native), English (Fluent).
• Strengths: Curiosity & Global Vision, Perseverance, Empathy, Scientific Rigor.

Interests & Passions

• Medicine & Clinical Sciences: Translational immunology, infectious diseases & microbiome, precision oncology, clinical genomics, neuroscience, brain-computer interfaces, surgical robotics.
• Computational Biology: Single-cell & spatial transcriptomics (scRNA-seq, CITE-seq), integrative multi-omics, quantitative digital phenotyping, network biology, reproducible pipelines.
• Artificial Intelligence: Generative AI & agentic architectures, GraphRAG & biomedical knowledge graphs, self-supervised learning & predictive world models (JEPA), lab automation.
• Other Passions: Competitive Judo (Black Belt - 14 years of practice, cultivating discipline and mental resilience), Running & Strength Training, plant cultivation & microclimatology (rare tropical species, propagation).