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
- 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
Current Projects
Applied Graph Theory / Network Science
Computational Epidemiology & Public Health
Computational Neuroscience
Computational Simulation and Optimisation
Members
| Name | GitHub | Julia Discourse | Julia Forem | ||
|---|---|---|---|---|---|
| Claudio Moroni | claudio.moroni | @ClaudMor | @Claudio__Moroni | @claudio20497 | @claudio_moroni |
| Pietro Monticone | pietro.monticone | @pitmonticone | @PietroMonticone | @PietroMonticone | @pitmonticone |