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My main interests are sociology of science & science of science, agent-based modeling, network analysis. I like my stats Bayesian, with Stan or PyMC.
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occupational-injuries-and-poisson-thinning
March 23, 2026 – Present
occupational-injuries-and-poisson-thinning — GitHub repository
View ProjectSciSci-textual-methods
May 3, 2024 – May 3, 2024
Repo for a class on quantitative textual analysis of science.
View ProjectSimulating-epistemic-bias-in-italian-Academic-recruiting
November 8, 2019 – November 8, 2019
According to some authors (e.g. Gillies 2014, Viola 2017), when researchers are called to express a judgment over their peers, they might exhibit an epistemic bias that make them favouring those who belong to their School of Thought (SoT). A dominant SoT is also most likely to provide some advantage to its members' bibliometric indexes, because more people potentially means more citations. In the long run, even the slight preference for one SoT over the others might lead to a monopoly, hampering the oft-invoked pluralism of research. In academic recruitment, given that those who recruited to permanent position will often become the recruiter of tomorrow, such biases might give rise to a self-reinforcing loop. However, the way in which this dynamics unfolds is affected by the institutional infrastructure that regulates academic recruitment. In order to reason on how the import of epistemic bias changes across various infrastructures, we built a simple Agent-Based Model using NetLogo 6.0
View Projectlewebslinger.github.io
January 1, 2015 – August 9, 2015
lewebslinger.github.io — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects show a diverse range of interests, including quantitative textual analysis, agent-based modeling, and general programming. While there is a personal project involving HTML, CSS, and JavaScript, the overall project portfolio does not strongly align with a dedicated Frontend Developer role, suggesting a potential mismatch in core focus. The projects indicate an academic or research-oriented background rather than direct industry experience in frontend development.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.