Experience

Research Assistant

Institute for Logic, Language and Computation (ILLC) — UvA

Extending a token-level perplexity framework by identifying the internal neural circuits responsible for linguistic disambiguation.

Teaching Assistant — BSc Machine Learning course

Vrije Universiteit Amsterdam

Delivered two exercise lectures and one project session per week, guiding 10 groups of students through the development of their machine learning projects.

Research Assistant

BioMedical and Health Informatics Lab — University of Pisa

PANS project: Developed ML models to identify blood-brain barrier permeable proteins and metabolites linked to Pediatric Acute-onset Neuropsychiatric Syndrome. MEDICA project: Built a bioinformatics pipeline to compare Microarray integration methods (ComBat, XPN). Developed explainable ML pipelines for Microarray and scRNA-seq data to identify novel Multiple Sclerosis biomarkers and pathways, using DAVID, StringDB, and Cytoscape.

Education

MSc in Artificial Intelligence

University of Amsterdam

GPA: 8.6/10 (Excellent, A+ in US/UK scale). Relevant Courses: Machine Learning, Deep Learning, Reinforcement Learning, NLP, Fairness & Accountability for AI, Information Retrieval, Foundation Models.

BSc in Computer Science

University of Pisa

Grade: 110/110 with honours | GPA: 29/30. Bachelor Thesis: Research of new biomarkers for Multiple Sclerosis using Machine Learning techniques. Relevant Courses: Machine Learning, Statistics, Numerical Calculus (MatLab), OOP (Java), Web Scraping and Data Analysis (Python), Algorithms and Data Structures (C).
Skills
Programming & Frameworks
Python
PyTorch
R
C
Bash
ML / AI & Research
Machine Learning & Deep Learning
Explainable AI (SHAP, LIME)
HuggingFace Transformers
TransformerLens
Genomic Data Analysis
Developer Tools
Git & GitHub
Linux
Docker
Awards
Lead The Future Mentee
Lead The Future ∙ Present
Selected as a mentee (acceptance rate <15%) for this leading STEM mentorship non-profit organisation.
Graduation with Honours
University of Pisa ∙ Present
Bachelor of Computer Science, 110/110 cum laude.
Top 5% of Students
University of Pisa ∙ Present
Among the 5% best students in all three academic years of the BSc.
Languages
100%
Italian Native
80%
English C1 Cambridge Certificate
40%
German A2