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Aurelien-Pelissier/README.md

Short Bio

Website   LinkedIn

  • 🎓 Education:

    • I recently obtained my PhD from ETH Zurich, in a joint program with IBM Research Zurich, in the Computational Systems Biology team.
    • I received my master degree from the École Normale Supérieure (ENS) Paris-Saclay in fundamental physics.
    • I have practical and fundamental expertise in:
      • Stochastic processes, Bayesian statistics, Interpretable ML, Geometric deep learning
      • Reinforcement Learning (Bandit, MCTS, Deep)
      • Time series analysis, Computer vision, NLP, Auto-encoders, Contrastive learning
      • Quantum Computing / Quantum Machine Learning
      • Blockchain / Web3 / Smart contracts
  • 🔭 My current research interests in Healthcare cover:

    • [repo] Drug discovery
    • [repo] Gene regulatory networks
    • [repo] Antigen-Antibody binding
    • [repo] Immune repertoire analysis
    • [repo] Non-Markovian stochastic systems
    • [repo] Multi-scale hybrid models of the immune system
    • Quantum Machine Learning for Healthcare applications
  • ⚡In my spare time:

    • I am a Blockchain/Web3 developer and the Co-founder and CTO of Peer2Panel, a blockchain startup with focus on solar energy.
    • I develop AI frameworks for optimal poker strategies and cryptocurrency trading (RL, social media impact, orderbook data and statistical arbitrage)
    • I am a writer on Medium, where I cover diverse topics, such as AI, Blockchain, Physics, Economy and Philosophy.

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  1. Feature-Selection-as-Reinforcement-Learning Feature-Selection-as-Reinforcement-Learning Public

    Bandit based Reinforcement Learning applied on Feature selection, a Monte Carlo search tree algorithm is trained to find the best feature subset on various training set.

    C++ 19 1

  2. High-Harmonic-Generation High-Harmonic-Generation Public

    Numerical simulation of the High Harmonic Generation process accounting for Quantum mechanic, Supersonic flow physics, Plasma physics and Nonlinear optics.

    MATLAB 15 10

  3. AI-SysBio/REGIR AI-SysBio/REGIR Public

    A practical and scalable Gillespie Algorithm for complex non-Markovian Stochastic Simulations, with applications to systems biology.

    Python 2

  4. AI-SysBio/Germinal-Center AI-SysBio/Germinal-Center Public

    A Probabilistic agent based model of the Germinal Center reaction, with explicit modeling of mutations in the B cell receptors sequences.

    Python 2

  5. IBMQ-Quantum-Programming IBMQ-Quantum-Programming Public

    Implementation of some famous quantum algorithms with the IBM QISKit development kit - Bell's state - Shor's Algorithm

    Python 15 1

  6. AI-SysBio/Raman-Imaging-Processing AI-SysBio/Raman-Imaging-Processing Public

    Provide libraries to process Hyperspectral Raman images, including batch effect correction with non cell region estimation and subtraction.

    Python 3 2