Skip to content
View LamineTourelab's full-sized avatar

Block or report LamineTourelab

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
LamineTourelab/README.md

Hi there ๐Ÿ‘‹

Curently

I'm the leader of the Bioinformatics Hub at INEM - Institut Necker Enfants Malades

As the leader of the Bioinformatics Hub of the Necker Institute, I manage omics data analyses for various research teams. I develop shared tools such as applications and bioinformatics analysis pipelines, and lead the hub's activities, ensuring efficient data handling and collaborative research efforts across the institute.

Before

I was a Data Scientist at Oncodesign Precision Medicine in Dijon, France. My work consisted of implementing and evaluating novel interpretable machine learning approaches to improve the identification of new therapeutic targets for patients resistance to anti-cancer treatment using multi-omics data based on ๐—ข๐—ป๐—ฐ๐—ผ๐—ฆ๐—ก๐—œ๐—ฃ๐—˜ยฎ ๐—ฝ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜. For more details, please check my LinkedIn profile.

I am graduated with a Master's degree in bioinformatics and multi-Omics engineering from the University of Paris-Est Crรฉteil. In this course I learned about bioinformatics and its applications in the health field. My different trainings have allowed me to have a wide range of knowledge in the field of health and environment as well as an integrative vision of different fields for health (One Health concept).

I'm passionate about artificial intelligence, particularly machine learning and its application to health, especially cancer..

Links

Programming languages and tools

PYTHON R LINUX GITHUB UBUNTU Shell Script MARKDOWN MySQL Octave image scikit-learn TensorFlow PyTorch Snakemake

Data skills

  • Omics data
    • Multimodal data (Rnaseq, exome, single Cell etc)
    • Longitudinal data
    • Data integration
    • Hetegenous data
  • Clinical data
  • Medical Images

Connect

Feel free to contact me for any questions, I would be delighted to help.

LinkeIn Twitter

Github stats

Popular repositories Loading

  1. MOGONET MOGONET Public

    MOGONET (Multi-Omics Graph cOnvolutional NETworks) is multi-omics data integrative analysis framework for classification tasks in biomedical applications.

    Python 13 1

  2. Tutorial Tutorial Public

    Tutorials on machine learning, artificial intelligence in general and in biomedical research.

    Jupyter Notebook 12

  3. AI-for-medicine-specialization AI-for-medicine-specialization Public

    Medical Images processing

    Jupyter Notebook 8 1

  4. Explainable-AI Explainable-AI Public

    In this repository you will fine explainability of machine learning models.

    6

  5. OmiVAE OmiVAE Public

    End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.

    Python 5

  6. grpregOverlap grpregOverlap Public

    Forked from YaohuiZeng/grpregOverlap

    Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates

    R 4