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raphaelrubrice/README.md

Hi, I'm Raphaël Rubrice !

I'm deeply interested in the potential of AI in Biology and Health. I also have a keen interest for Bioinformatics. I've always been drawn to the intersection of computational methods with biological questions and challenges.

Currently following a Master 2 in Artificial Intelligence and Computational Biology at Paris-Saclay University and AgroParisTech Engineering School, my thirst for new knowledge and skills is stronger than ever !

I've worked on a research project aimed at using Machine Learning to predict bacterial biofilm antagonism and more recently, I've created a tool for Transposable Elements Locus Level Analysis (TELLAM). I am constantly trying to improve my data science and programming skills which make me eager to contribute to impactful and ground-breaking projects involving AI and/or Bioinformatics.

💻Operating Systems I've worked with :

ubuntu logo windows8 logo apple logo

🧰📊What I use to contribute to projects :

vscode logo git logo github logo nextflow logo docker logo rstudio logo jupyter logo anaconda logo postgresql logo latex logo

💻📚Programming Languages :

python logo rstudio logo bash logo

🧪⌨️Current projects :

  • Currently enrolled in a datacamp challenge from Ecole Polytechnique as part of my Master2 program.
  • Working on a project to leverage LLMs for better animal food nutritive value prediction
  • Writing a paper on Machine Learning application for bacterial biofilm antagonism prediction
  • Improving TELLAM
  • Improving my Biofilm Simulator

📫Contacts :

linkedin logo outlook logo

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  1. TELLAM TELLAM Public

    Pipeline for Transposable Elements Locus Level Analysis.

    Python

  2. Biofilm-Simulator Biofilm-Simulator Public

    Project aimed at programming an individual based model (cellular automaton approach) for modeling bacterial biofilms and interactions within them.

    Python

  3. MD2GD MD2GD Public

    Project to upload the rendered version of a Markdown file to a specified Google Drive Folder.

    Python

  4. Machine_Learning_Assignment Machine_Learning_Assignment Public

    Created for the evaluated assignment of the AP_PROG Machine Learning course at AgroParisTech.

    HTML