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AntoineTSP/README.md

Antoine Klein

AI Research Engineer with a strong background in Data Science and Statistics.
Currently in my final year of a double MSc. degree.

Projects 🛠️

Benchmark of Graph Neural Network (GNN) Repo

  • Organization: Ecole Polytechnique - IP Paris
  • Course: Machine Learning Research Seminar (E. Flamary / E. Moulines)
  • Description: Implementation of a GNN research Benchmark including the latest MEWIS pooling, as described in "Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks"URL

Text Mining and Health Care Pathway Repo

  • Organization: Assistance Publique - Hôpitaux de Paris (Paris, FRA)
  • Duration: November 2022 - May 2023 (6 months)
  • Description: Conducted a project on "A Novel Methodological Framework for Analyzing Health Trajectories and Survival Outcomes in Heart Failure Patients". The aim was to study the care pathways of heart failure patients through NLP and sequential pattern mining, then implement a survival analysis model.

Education 📚

  • MSc. in Data Science at Ecole Polytechnique - IP Paris (FRA)

    • 2023-2024
    • Focus on Deep Learning, Statistical Learning Theory, Privacy, GenAI, MCMC Methods.

  • MSc. in Statistics and Economics at ENSAE Paris - IP Paris (FRA)

    • 2022-2024
    • Focus on Statistics, Machine Learning, and Deep Learning.
    • Also studied Advanced Econometrics, Macroeconomics, Microeconomics.

  • MSc. in Engineering at Telecom SudParis (FRA)

    • 2020-2024
    • Achieved the title of "Ingénieur Télécommien" (general engineering degree) with expertise in Data Science, Big Data, and Numerical Analysis.

Pinned Loading

  1. ML_research_seminar ML_research_seminar Public

    This will contain all the file for the M2DS course : ML research seminar

    Jupyter Notebook 1 1

  2. Ramp_challenge Ramp_challenge Public

    This will contain the Ramp challenge

    Jupyter Notebook 1

  3. INSEE_segregation_regionale INSEE_segregation_regionale Public

    Clone de mon travail effectué au sein de l'INSEE lors de mon stage 2A ENSAE : Etude et diffusion du Grand Est : Utilisation des indices de Theil pour mesurer la ségrégation régionale

    HTML

  4. responsible-ai-datascience-ipParis.github.io responsible-ai-datascience-ipParis.github.io Public

    Forked from responsible-ai-datascience-ipParis/responsible-ai-datascience-ipParis.github.io

    This will contain all the file for the M2DS course : Responsible AI

    Jupyter Notebook

  5. Kirscher/TextMining_Parcours_de_soin Kirscher/TextMining_Parcours_de_soin Public

    Offical repo of the paper "A novel methodological framework for the analysis of health trajectories and survival outcomes in heart failure patients" (ICLR 2024)

    HTML 1 1