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Achievement: StarstruckAchievement: Pair ExtraordinaireAchievement: Public SponsorAchievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2

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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 built from scratch to production an Agentic RAG AI engine named Pythia 🔮 (generative AI API and Web Application) for company documentation on AWS (1M+ pages of documents, 500+ users).
  • During my PhD, I build tools for researchers to analyze multimodal patient data. I built MyoQuant🔬 for muscle histology image with open-data and model (HuggingFace), NLMyo🔧: to explore using LLMs for biopsy text report processing and IMPatienT🗂️ a small web-app to do text annotation and explainable AI prediction.

I also had the opportunity to do bioinformatic and ML teaching at the university. You can find all way to reach me and see my work by accessing my website: cmeyer.fr.

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

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  1. NLMyo NLMyo Public

    NLMyo🔧: 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

    MyoQuant🔬: 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

    IMPatienT🗂️: an integrated web application to digitize, process and explore multimodal patient data. Demo version deployed at: https://impatient.lbgi.fr/

    Python 7

  4. modern-python-boilerplate modern-python-boilerplate Public

    My own python boilerplate for package developement

    Makefile 25 1

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

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

    Jupyter Notebook