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https://github.com/lambda-science/lambda-science


https://github.com/lambda-science/lambda-science

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README

        

### 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:
- [NLMyo](https://github.com/lambda-science/NLMyo)πŸ”§: a toolbox leverage Large Language Models (LLMs such as ChatGPT) to exploit histology reports
- [MyoQuant](https://github.com/lambda-science/MyoQuant)πŸ”¬: a tool to quantify pathological features on muscle biopsies image
- [IMPatienT](https://github.com/lambda-science/IMPatienT)πŸ—‚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](https://cmeyer.fr)**. I also run a blog where I try to communicate on the things I'm working on at [cmeyer.fr/blog/](https://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