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paololapo/README.md

Paolo Lapo Cerni


  • 📌 Based in Padua, Italy
  • 📊 MSc Physics of Data student
  • 🎓 BSc Physics graduate. Final thesis: "Dynamical connectivity and nonlinearity in a whole-brain computational model", analysis of fMRI time series with modern computational neuroscience models and techniques. See: thesis , code
  • 🎈 Mostly interested in: complex systems, network science, machine learning, numerical simulations, computational neuroscience, statistical physics

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  1. NetworkReconstruction NetworkReconstruction Public

    Two approaches to reconstruct a partially corrupted/observed adjacency matrix: bayesian inference and graph neural networks

    Jupyter Notebook 1

  2. LuxMarchesiModel LuxMarchesiModel Public

    Lux-Marchesi agent-based model of an artificial financial market, reproducing scaling and criticality. 'Econophysics' course

    Python

  3. jacopocarotenuto/SBI_RedBloodCells jacopocarotenuto/SBI_RedBloodCells Public

    The project aims to explore the Simulation Based Inference to study three stochastic models: Ornstein-Uhlenbeck, Run&Tumble, and a dynamical model of the Blood Cells motion.

    Jupyter Notebook 2 2

  4. ComplexNetworks_projects ComplexNetworks_projects Public

    Final projects for the "Physics of Complex Networks: structure and dynamics": complexity science and multidisciplinary physics

    Jupyter Notebook

  5. QuantumCryptographySecurity QuantumCryptographySecurity Public

    Data analysis of QRNG and QKD experimental protocols, 'Quantum Cryptography and Security' course.

    Python 4

  6. LorenzoVigorelli/Distributed-K-Means-Clustering LorenzoVigorelli/Distributed-K-Means-Clustering Public

    Adaptation of the K-Means clustering algorithm to MapReduce-like architectures, exploiting the parallelization capabilities offered by distributed systems. Final project for the ‘Management and Ana…

    Jupyter Notebook 1