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InPhyT is a student research group founded at the Department of Physics of the University of Turin specialising in the applied mathematical, statistical 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 computational infrastructures 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.
| Name | GitHub | Julia Discourse | Julia Forem | ||
|---|---|---|---|---|---|
| Pietro Monticone | pietro.monticone | @pitmonticone | @PietroMonticone | @PietroMonticone | @pitmonticone |
| Claudio Moroni | claudio.moroni | @ClaudMor | @Claudio__Moroni | @claudio20497 | @claudio_moroni |
COVID-19 integrated surveillance data provided by the Italian Institute of Health and processed via UnrollingAverages.jl to deconvolve the weekly moving averages.
Data for the Quantitative Single-Neuron Modeling Competition (2009).
Data for the Quantitative Single-Neuron Modeling Competition (2007).
Computational Social Science Project: "Algorithmic Bias in Echo Chamber Formation".
A Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.
An optimized graphs package for the Julia programming language
A Julia package to deconvolve ("unroll") moving averages of time series to get the original ones back.
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