Verified recordHigher Education

Benjamin Demaille

Computational Biologist at Institut De Psychiatrie Et Neuroscience De Paris Ipnp

Based in Clamart, France

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Seniority

Staff

Department

Science

Location

Clamart

Industry

Higher Education

Company size

63

Contact information

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Email

1 credit

b•••••••@ipnp.paris5.inserm.fr

Phone

5 credits

+33 ••• •••• ••••

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Background

About Benjamin Demaille

As a Bioinformatics Engineer at the Institute of Psychiatry and Neuroscience of Paris (IPNP, INSERM U1266), I specialize in the development and maintenance of bioinformatics workflows for high-throughput data analysis in neuroscience and psychiatry. My work covers bulk RNA-seq, single-cell RNA-seq (10x Genomics), spatial transcriptomics (10x Visium, Vizgen MERFISH), whole-genome bisulfite sequencing (WGBS), GWAS, and polygenic risk score (PRS) analysis. I manage data processing pipelines from raw data to biological interpretation. This includes quality control, normalization, clustering, dimensionality reduction, differential expression, annotation, and gene set enrichment. I use tools such as Seurat, DESeq2, SoupX, dmrseq, bsseq, DSS, Bismark, CellRanger, MultiNicheNet, and visualization packages in R and Python. I ensure reproducibility with Snakemake, Git, and R Markdown, and provide technical support and training to research teams. At Institut Curie (U932 – Stroma and Immunity team), I previously led analysis of bulk and single-cell RNA-seq data using Kallisto, DESeq2, and Seurat to support cancer immunology research. I also worked with Vizgen MERFISH and 10x Visium datasets, contributing to the spatial transcriptomic characterization of tumor microenvironments. Earlier at IFB-Core and ARTBio (Sorbonne University), I helped design SARS-CoV-2 genomic surveillance workflows for national-scale monitoring projects, gaining experience in workflow orchestration and collaborative tool deployment. My profile combines strong programming skills (R, Python, Bash), solid foundations in genomics and transcriptomics, and a commitment to clear scientific communication. I regularly develop internal documentation and training materials to promote autonomy and reproducibility among collaborators.

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