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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. Dynamic_FC_analysis Dynamic_FC_analysis Public

    BSc thesis. Tools for analyzing rs-fMRI time series (HCP dataset) with Dynamic Functional Connectivity and a whole-brain nonlinear model.

    Jupyter Notebook 2

  2. SIRS_model_on_graphs SIRS_model_on_graphs Public

    Generalization of the famous SIR epidemiological model considering also virus variants and reinfections. Scale-free network via Barabási–Albert model.

    C++ 1

  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. 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

  5. BayesianNetworks BayesianNetworks Public

    Bayesian Networks can investigate conditional dependencies from the data: implementation of the K2 algorithm and comparison with standard models.

    Jupyter Notebook

  6. QuantumCryptographySecurity QuantumCryptographySecurity Public

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

    Python 3