Skip to content
View Aurelien-Pelissier's full-sized avatar
Block or Report

Block or report Aurelien-Pelissier

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 user’s behavior. Learn more about reporting abuse.

Report abuse
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] Single-cell RNA-seq 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.

Pinned

  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 13 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 1

  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 1

  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 13 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 2 2