Deep Learning for Biomedical Imaging
Bioimage Processing Engineer @ Institut Cochin · CNRS · France BioImaging (2024–2026)
MSc Bioinformatics @ Université Paris Cité
Paris, France

profile = {
    "role"   : "Bioimage Processing Engineer",
    "focus"  : ["Medical Imaging", "Deconvolution", "3D Segmentation", "Production ML Systems"],
    "status" : "Seeking ML / Computer Vision / Bioimage Engineer CDI · Paris · Sept. 2026",
}

I build production ML systems for biomedical imaging — designing and deploying image analysis pipelines used daily by researchers on a national imaging infrastructure.
My edge: I write production code and understand the biology behind the data.

Deep Learning & Computer Vision

Bioinformatics · Single-Cell · Multi-Omics

BioPython · Scanpy · AnnData · Seurat · DESeq2 · limma · Bioconductor · ComplexHeatmap · fgsea · MODELLER
scRNA-seq · multi-omics · Matplotlib · Plotly · ggplot2

Software Engineering

Deep learning pipeline for mammography screening on DICOM data.
Multi-model ensemble (EfficientNet, ConvNext) · medical windowing · class imbalance strategies
PyTorch · pydicom · scikit-image

Protein structure recognition via sequence-structure alignment using double dynamic programming.
Modular architecture (9 core modules) · orchestration pipeline · tested
Python · BioPython

Molecular energy minimization via steepest descent — analytical & numerical gradient approaches.
3D structure visualization · VMD trajectory generation · PDB parsing
Python · NumPy · Matplotlib

Always happy to connect, exchange ideas, or just talk science and code.