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Interdisciplinary Physics Team (InPhyT)

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Overview

InPhyT is a student research group based at the Department of Physics of the University of Turin specialising in the applied mathematical and computational modelling of complex systems.

We strongly believe in interdisciplinary approaches to tackling interesting challenges and pressing problems both in academic and industrial R&D.

We designed infectious disease epidemiological data management pipelines in collaboration with regional and national public health institutions in Italy and we are active maintainers and contributors of software packages and organisations within the Julia Programming Language ecosystem with a focus on the development of dynamical modelling frameworks.

Past Projects

Computational Social Science

Computational Epidemiology & Public Health

Data Mining & Machine Learning

Time Series Analysis

Current Projects

Applied Graph Theory / Network Science

Computational Epidemiology & Public Health

Computational Neuroscience

Computational Simulation and Optimisation

Members

Name Mail GitHub Twitter Julia Discourse Julia Forem
Pietro Monticone pietro.monticone @pitmonticone @PietroMonticone @PietroMonticone @pitmonticone
Claudio Moroni claudio.moroni @ClaudMor @Claudio__Moroni @claudio20497 @claudio_moroni
@InPhyT

It would show enough support to improve APIs and documentation of our most popular packages and more!

Meet the team

Featured work

  1. InPhyT/MultilayerGraphs.jl

    A Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.

    Julia 6
  2. InPhyT/COVID19-Italy-Integrated-Surveillance-Data

    COVID-19 integrated surveillance data provided by the Italian Institute of Health and processed via UnrollingAverages.jl to deconvolve the weekly moving averages.

    Julia 31
  3. InPhyT/UnrollingAverages.jl

    A Julia package to deconvolve ("unroll") moving averages of time series to get the original ones back.

    Julia 19
  4. InPhyT/Social_Ego_Network_Analysis

    Ego Graph Analysis on Social Media.

    Jupyter Notebook 10
  5. InPhyT/IMDb_Sentiment_Analysis_BERT

    BERT Sentiment Classification on the IMDb Large Movie Review Dataset.

    Jupyter Notebook 15

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