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lambda-science/README.md

Hello ! 🐍

I'm Corentin Meyer. Currently AI Engineer at Alcatel-Lucent Enterprise, I have a PhD in biomedical AI.

At ALE I work on developping our internal generative AI solutions (LLMs) to support our company internal use-cases. I built and manage our generative AI initiative end to end: from the idea to the PoC up to the industralisation on AWS. I have a broad role as main technical expert and developer while maintaining good cross-departement communication and translating business requirement into technical implementation. On the side I also develop and maintain more classical AI models for sales & operations units.

Previously my research focused on applying cutting-edge AI techniques to analyze patient data for genetic diseases, specifically congenital myopathies. I applied modern artificial intelligence techniques to analyze data of patients affected by a family of genetic diseases (congenital myopathies). I've build three open sources tools:

  • NLMyoπŸ”§: a toolbox leverage Large Language Models (LLMs such as ChatGPT) to exploit histology reports
  • MyoQuantπŸ”¬: a tool to quantify pathological features on muscle biopsies image
  • IMPatienTπŸ—‚οΈ: a patient database tool to annotate, process and explore patient biopsy text reports

You can find all way to reach me and see my work by accessing my website: cmeyer.fr. I also run a blog where I try to communicate on the things I'm working on at cmeyer.fr/blog/

NLMyo Banner MyoQuant Banner IMPatienT Banner

Here you can find a tree of all my GitHub projects:

🐍 Corentin Meyer
┣━━ πŸ“¦ Main Projects
┃   ┣━━ myoquantπŸ”¬          - automatically quantify pathological features in muscle fiber histology images
┃   ┣━━ nlmyoπŸ”§             - toolbox to leverage LLMs to exploit histology text reports
┃   ┣━━ impatientπŸ—‚οΈ         - web application to digitize, process and explore multimodal patient data
┃   ┣━━ myoquant-streamlit  - web demo of myoquant using streamlit
┃   ┣━━ streamline          - fork of the Streamline autoML pipeline for multiclass classification
┃   ┣━━ primate proteins    - analysis of gene prediction errors in the proteome of 11 primates
┃   ┗━━ drosophila proteins - analysis of gene prediction errors in the proteome of drosophilas
┣━━ πŸ› οΈ Work In Progess
┃   ┣━━ thesis              - my thesis in writing
┃   ┣━━ predex              - train and visualize learning classier systems (lcs) for explainable models
┃   ┗━━ dnd-qaπŸ—‘οΈ           - chatbot to answer questions about dungeons and dragons spells
┣━━ πŸ”— My Websites
┃   ┣━━ cmeyer.fr           - personal linktree
┃   ┣━━ cmeyer.fr/blog      - personal blog
┃   ┣━━ impatient.lbgi.fr   - impatient web demo
┃   ┣━━ lbgi.fr/MyoQuant    - myoquant web demo
┃   ┣━━ lbgi.fr/NLMyo       - nlmyo web demo
┃   ┗━━ status.cmeyer.fr    - website status page
┣━━ πŸ“š Teaching and Internships
┃   ┣━━ ml intro lecture    - 1st machine-learning introduction lecture at the biotechnology school of strasbourg (esbs)
┃   ┣━━ ml 1st practical    - 1st machine-learning practical at the esbs
┃   ┣━━ ml 2nd practical    - 2nd machine-learning practical at the esbs
┃   ┣━━ afaf intern         - code for afaf internship
┃   ┗━━ ines intern         - code for ines and jeremy internship
┗━━ ⚰️ Dead and old projects
    ┣━━ pcr-primer-finer    - tool to find optimal primers for pcr
    ┣━━ genetics            - a web application for genetic sequence analysis
    ┣━━ genetics-gui        - a gui app. for genetic sequence analysis
    ┣━━ huntington-rnaseq   - hungtington disease RNA-seq analysis internship
    ┗━━ twitter-bot         - small twitter bot to tweet pictures of cute shibas

Follow me on twitter @corentinm_py and on my website cmeyer.fr

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  1. NLMyo NLMyo Public

    NLMyoπŸ”§: a toolbox built to leverage the power of Large Language Models (LLMs) to exploit histology text reports. Demo version at: https://lbgi.fr/NLMyo

    Python 1

  2. MyoQuant MyoQuant Public

    MyoQuantπŸ”¬: a tool to automatically quantify pathological features in muscle fiber histology images. Demo version deployed at: https://lbgi.fr/MyoQuant

    Python 3 1

  3. IMPatienT IMPatienT Public

    IMPatienTπŸ—‚οΈ: an integrated web application to digitize, process and explore multimodal patient data. Demo version deployed at: https://impatient.lbgi.fr/

    Python 7

  4. MyoQuant-Streamlit MyoQuant-Streamlit Public

    MyoQuant-Streamlit is a demo web application to showcase usage of MyoQuant. Demo version deployed at: https://lbgi.fr/MyoQuant

    Python 2

  5. ML-TD-ESBS-2 ML-TD-ESBS-2 Public

    2nd machine-learning practical at the Biotechnology School of Strasbourg (ESBS)

    Jupyter Notebook

  6. AI-dev-playground AI-dev-playground Public

    The training source code for the MyoQuant SDH Model

    Jupyter Notebook