CV

Data Scientist

Managing unsupervised clustering for portfolio analysis and a revenue-forecasting system using LSTM networks and XGBoost.

Research Intern

Developed a ML model to predict geopolitical risks with interactive visualization; applied XAI techniques to improve neural network interpretability.

MSc Stochastics and Data Science

Thesis: Efficient estimation of survival curves and quantile treatment effects under right-censoring. Supervisors: Matteo Giordano, Stijn Vansteelandt.

Exchange Semester (Erasmus+)

Coursework: Causal ML, Deep Learning, NLP.

BSc Mathematics for Finance and Insurance

Thesis: One-dimensional and two-dimensional random walk with extension to Skew walk and non-Markovian walks. Supervisor: Cristina Zucca.

Integrating XAI for Predictive Conflict Analytics

Macis, L.; Tagliapietra, M.; Castelnovo, A.; Regoli, D.; Greco, G.; Cosentini, A.; Pisano, P.; Carroccetto, E.

AI and Machine Learning in Healthcare Summer School

ChemAI: How AI is Changing Chemical Discovery

Treasurer and volunteer

Board Member