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PhD, behind and beyond |
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Here follows a list of my main research projects
In this work we assess the effect of improved ventilation in a school setting, on the spread of influenza, using previously recorded contact among school students and workers.
<iframe id="igraph" scrolling="no" style="border:none;" seamless="seamless" src="https://ggrrll.github.io/Nutriscore-of-FoodRepo/3d_nutrients_&_nutriscore.html" height="500" width="80%"></iframe>
One of the project during the 2018 Complex Systems Summer School (CSSS), in Santa Fe (NM)
(a list of publications can also be found on my Google Scholar profile )
My PhD thesis, that basically list my main 4 works, can be found hereHere, we present this system, which we call FoodRepo (https://www.foodrepo.org), an openly accessible database of barcoded food products, and we describe the data-acquisition framework, its quality control and maintenance.
Assessing the Dynamics and Control of Droplet- and Aerosol-Transmitted Influenza Using an Indoor Positioning System
we find that bringing ventilation to recommended levels had the same mitigating effect as a vaccination coverage of 50% to 60%. Ventilation is an easy-to-implement strategy that has the potential to support vaccination efforts for effective control of influenza spread
Code and plots can be found in the related GitHub repo
Here, we present an analysis of the 1630–1631 plague outbreak in the city of Venice, using newly collected daily death records. We identify the presence of a two-peak pattern, for which we present two possible explanations based on computational models of disease dynamics.
In this work we assessed the effect of 'social segregation' on the sperad of higly-infectious diseases, like measles, in order to propose an explanation for variability observed in outbreak size, across countries with similar vaccination coverages.
We find the largest effects to be in the regime of relatively high vaccination coverages of around 80%, where despite vaccination being random, outbreak sizes can vary by a factor of 20.
<iframe id="igraph" scrolling="no" style="border:none;" seamless="seamless" src="https://ggrrll.github.io/Nutriscore-of-FoodRepo/3d_nutrients_&_nutriscore.html" height="500" width="80%"></iframe>
More details can be found in the related GitHub repository
<iframe id="igraph" scrolling="no" style="border:none;" seamless="seamless" src="https://ggrrll.github.io/foodrepo_data_analysis_public/clustering_3D.html" height="500" width="90%"></iframe>More details can be found in the related GitHub repository
Project for Applied Data Analisys course, at EPFL (link to the website)
One of the project during the 2018 Complex Systems Summer School (CSSS), in Santa Fe (NM)
(find the final papers of the summer school here: Complex_Systems_Summer_School_2018-Final_Papers)
ML driven classification of a ovarian cancer dataset, for the identification of relevant cancer biomarkers
More details can be found in the related GitHub repo
Here is the paper that constitues basically my MSc thesis.