I'm Corentin Meyer. Currently AI developer 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🔧: a toolbox leverage Large Language Models (LLMs such as ChatGPT) to exploit histology reports
- MyoQuant🔬: a tool to quantify pathological features on muscle biopsies image
- IMPatienT🗂️: 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/
Here you can find a tree of all my GitHub projects:
🐍 Corentin Meyer ┣━━ 📦 Main Projects ┃ ┣━━ myoquant🔬 - automatically quantify pathological features in muscle fiber histology images ┃ ┣━━ nlmyo🔧 - toolbox to leverage LLMs to exploit histology text reports ┃ ┣━━ impatient🗂️ - 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 ┣━━ 🛠️ Work In Progess ┃ ┣━━ thesis - my thesis in writing ┃ ┣━━ predex - train and visualize learning classier systems (lcs) for explainable models ┃ ┗━━ dnd-qa🗡️ - chatbot to answer questions about dungeons and dragons spells ┣━━ 🔗 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 ┣━━ 📚 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