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claudmor

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Data Scientist @ Dedagroup's Operations Research department @ORSGroup. Previously Graph ML @ CENTAI. M.Sc. in Physics of Complex Systems @Turin University.

Funding Links: https://github.com/sponsors/ClaudMor

GitHub Sponsors Profile

Hi 😃,
My name's Claudio, I'm from Italy.
Currently working in the student-founded organization @In_Phy_T, we develop domain-specific pipelines that include data-modeling pipelines and modeling frameworks in the fields of Computational Neuroscience, Computational Epidemiology and Computational Social Sciences.
I already contributed to developing open-source projects hosted on GitHub, like:

UnrollingAverages.jl, a Julia package aimed at deconvolving moving averages exploiting all the information available;
COVID19-Italy-Integrated-Surveillance-Data: contains age, sex and region stratified epidemiological incidences for Italy. Integration with online real-time modeling tools in progress;
ICD_GEMs.jl: a Julia package that implements translation utilities from ICD-9 to ICD-10 and vice versa. More systematic coverage of the subject coming in the future.

And (much) more is coming!
Funding will be used to afford subscription-based research/academic tooling, like (depending on the amount received):

Paid RSS services to improve literature coverage;
Paid data or data-collection essential tools providers;
Better hardware for ML/data intensive tasks;
Paid versions of API, such as Twitter API.

I strongly believe (being myself a primary user and a learning contributor) in open source as it may be the only way to see giant, well-maintained ecosystems as well as generic tooling flourish and it also is (from personal experience) a great educational and personal growth instrument for students, that would require not only funding but also a better incentive system, especially in some areas of the world.

Featured Works

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.

Language: Julia - Stars: 31
InPhyT/UnrollingAverages.jl

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

Language: Julia - Stars: 19
ClaudMor/Plant_Disease_Classification_CNN

Language: HTML - Stars: 7
ClaudMor/Reddit_Text_Classification

Language: Jupyter Notebook - Stars: 4
ClaudMor/IMDb_Sentiment_Analysis_BERT

Language: Jupyter Notebook - Stars: 3