MSc in Data Science and Scientific Computing (LM-44)
University of Trieste & SISSA
Data Science and Artificial Intelligence track. Graduation score: 110/110 cum laude.
Thesis: A Dialectic Pipeline for Improving LLMs Robustness, supervised by Luca Bortolussi and Gabriele Sarti.
Graduation score: 110/110 cum laude.
Thesis: Beta-binomial regression model for inferring the number of BSc graduate students in Italian universities, supervised by Francesco Pauli.
Skills & Hobbies
Programming
Python
R
Bash / Linux
Machine Learning & NLP
Deep Learning (PyTorch)
Transformers / HuggingFace
NLP Tasks (QA, NLI, Sentiment, …)
Evaluation & Benchmarking
Data & Statistical Tools
Data Analysis (Pandas / NumPy)
Scikit-Learn
Statistical Modeling
SQL (basic)
Dev & Research Tools
Git / GitHub
LaTeX
Experiment Tracking (Weights & Biases)
Awards
Mention of Honor, “Best Master Thesis” — Emanuele Pianta Award
CLiC-it 2025, AILC — Cagliari (IT) ∙
January 2025
Awarded for the Master’s thesis A Dialectic Pipeline for Improving LLM Robustness.
3rd Place — “ACCELERATE AI” Hackathon
AINDO — Trieste (IT) ∙
January 2024
Third place at the ACCELERATE AI hackathon organized by AINDO.
Merit Scholarship — Generali4Girls in STEM
Generali — Trieste (IT) ∙
January 2019
Merit-based scholarship awarded to outstanding female students pursuing STEM degrees (2019–2022).