inphyt

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Complex Systems Modelling Group: Computational Social Science, Epidemiology and Neuroscience.

Funding Links: https://github.com/sponsors/InPhyT, https://github.com/sponsors/pitmonticone, https://github.com/sponsors/ClaudMor

• Name: Interdisciplinary Physics Team (InPhyT)
• Location: Turin, Italy
• Kind: organization
• Followers: 26
• Following: 0
• Total stars: 101
• Repositories count: 17
• Created at: 2023-05-26T00:37:10.960Z
• Updated at: 2025-06-06T05:36:45.302Z
• Last synced at: 2025-06-06T05:36:45.302Z

GitHub Sponsors Profile

Interdisciplinary Physics Team (InPhyT)

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

Ego Graph Analysis on Facebook and Twitter.

Computational Epidemiology & Public Health

ICD_GEMs.jl: A Julia Package to Translate Between ICD-9 and ICD-10 Codes;
Italian COVID-19 integrated surveillance dataset disaggregated by region, age and sex.

Data Mining & Machine Learning

User Gender Classification on Reddit applying NLP;
BERT Sentiment Classification on the IMDb Large Movie Review Dataset;
Dataset Analysis and CNN Models Optimization for Plant Disease Classification.

Time Series Analysis

UnrollingAverages.jl: A Julia Package to Deconvolve Time Series Data.

Current Projects
Applied Graph Theory / Network Science

MultilayerGraphs.jl: A Julia Package to Construct, Handle and Analyse Multilayer Graphs.

Computational Epidemiology & Public Health

ComputationalEpidemiology.jl.

Computational Neuroscience

NeuronalModeling.jl: A Julia Package for Single-Neuron Modelling.

Computational Simulation and Optimisation

ModellingFramework.jl: A Julia Package for Domain-Specific Modelling 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

• Current Sponsors: 0
• Past Sponsors: 0
• Total Sponsors: 0
• Minimum Sponsorship: $10.00

Featured Works