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Simon ChevolleauSC

Simon Chevolleau

Bioinformaticien

On-demand
Nantes, FR
0-2 years

Average response time: 1 hour

About Simon

Bonjour, je suis doctorant en bioinformatique travaillant sur la charactérisation de types cellulaires chez l'humain. J'effectue des analyses transcriptomiques principalement (scRNAseq et RNAseq).
En dehors de mon activité professionnelle, je créé de petits jeux à l 'aide de Godot 4 (2D) je débute encore et j'ai créé un site de location de jeux de société, où tout le côté back-end est réalisé en Django et le front-end est en cours de réalisation (CSS + React).
  • French

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • CRTI UMR 1064 Nantes
    PhD student in Bioinformatics : "Transcriptomic modeling of human peri-implantation development"
    October 2021 - Today (4 years and 8 months)
    Nantes, France
    Transcriptomic modeling of human peri-implantation development :
    - FASTQ alignement with Kallisto.
    - Quality Control.
    - Batch-effect correction using Mutual Nearest Neighbors.
    - UMAP visualisations.
    - Leiden clustering on cells.
    - Pseudotime with Monocle3 and Slingshot.
    - Plot heatmap using ComplexHeatmap R package.
    - Seek markers of clusters with WGCNA, SCENIC and TradeSeq.
    - Modules preservation with WGCNA and GWENA.
    - Web application to show previous results interactively using DASH.
  • CHU de Nantes : Centre de Recherche en Transplantation et Immunologie (CRTI)
    Bioinformatic internship Master 2
    March 2021 - October 2021 (7 months)
    Nantes, France
    Transcriptomic modeling of human peri-implantation development :
    - FASTQ alignement with Kallisto.
    - Quality Control.
    - Batch-effect correction using Mutual Nearest Neighbors.
    - UMAP visualisations.
    - Leiden clustering on cells.
    - Pseudotime with Monocle3.
    - Plot heatmap using ComplexHeatmap R package.
    - Seek markers of clusters with WGCNA.
  • Københavns Universitet - University of Copenhagen
    Alzheimer's MRI image biohackathon
    November 2020 - November 2020
    Participation to Alzheimer's MRI image" biohackathon by creating Convolutional Neural Network to classify MRI with or without Alzheimer from synthetic or real data.

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Education

  • Master's degree, Bioinformatics and Biostatistic
    Université de Nantes
    2021
    Master's degree, Bioinformatics and Biostatistic
  • Master's degree, Integrative biology and global change
    Université d'Orléans
    2019
    Master's degree, Integrative biology and global change

Skill set (9)

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