Filippo Stanghellini

Master's student in Data Science · University of Trento
Verona, Italy · Status: Learning things @ UniTrento

Contact

Education

2024 – Current

Master's Degree in Data Science

University of Trento
2020 – 2023

Bachelor's Degree in Cognitive Psychology

University of Trento

Experience

2023

University Research Assistant — Data Scientist (Internship)

    Developed a Cognitive Network based on the items of the DASS questionnaire (Depression Anxiety Stress Scale) using Python and the EmoAtlas library to build a semantic-syntactic network. Performed graph analysis in R (degree, closeness, modularity, assortativity) and applied various clustering techniques to identify main conceptual communities. In the second phase, built a Psychometric Network using the EGAnet package to estimate the number of factors and assess their stability through bootstrap methods, comparing results with the theoretical structure of the DASS. Finally, conducted a comparative analysis between the two networks using the Jaccard Index, highlighting a significant overlap between semantic communities and psychometric factors.

Projects

Crop Disease Prediction and Alert System

The Crop Disease Prediction and Alert System is a comprehensive real-time agricultural monitoring platform designed to detect, predict, and alert on potential crop disease outbreaks.

CLIP Image Retrieval

A CLIP-based image retrieval system with ViT-L/14, Circle Loss, and advanced re-ranking & TTA for accurate visual search.

DocFinder

DocFinder is a local-first CLI for indexing and searching PDF documents using semantic embeddings stored in SQLite. Everything runs on your machine, no external services required.

Micro Learning

Micro Learning is a terminal-based application that generates True/False quizzes from PDF files. It extracts text from your study materials and uses AI to create interactive quizzes, helping you review and reinforce key concepts efficiently.

Publications

2023

Stanghellini, F., Perinelli, E., Lombardi, L., & Stella, M.

Introducing semantic loadings: Bridging cognitive network science with network psychometrics for understanding depression, anxiety and stress.

Link: advances.in/psychology/10.56296/aip00008/

Skills

Programming

Python R

Areas of Expertise

Machine Learning Deep Learning Statistics

Languages

Italian — Native language English — B2

Certifications