Assistant Professor (RTD-A)

2023 - Present University of Pisa, Department of Computer Science

• Co-Teacher of “Artificial Intelligence for Digital Health” (M.Sc. course).
• Member of the “Future of Artificial Intelligence Research (FAIR)” EU project.
• Supervising 1 Ph.D. student and 5+ M.Sc. theses.

Postdoctoral Researcher

2021 - 2023 University of Pisa, Department of Computer Science - GSK Vaccines srl

Conducted research on machine learning for vaccine development.

Research Fellow

May-November 2017 University of Pisa, Department of Computer Science

Conducted research on analysis of clonal evolution data by machine learning.

Ph.D. in Computer Science

2017 - 2021, University of Pisa, Italy

Thesis: “Deep Learning on Graphs with Applications to the Life Sciences”
Advisors: Prof. Alessio Micheli - Prof. Davide Bacciu

M.Sc. in Computer Science

2008 - 2017, University of Pisa, Italy

Thesis: “Predicting mortality in low birth weight infants: a machine learning perspective”
Advisors: Prof. Alessio Micheli - Prof. Davide Bacciu

B.Sc. in Computer Science

2004 - 2008, University of Cagliari, Italy

Best Paper Award

2021, International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC)

Awarded for the paper ‘Prediction of Dynamical Properties of Biochemical Pathways with Graph Neural Networks’.

University Scholarship for Doctoral Studies

2017 - 2021, University of Pisa - MIUR

Full tuition and living stipend for Ph.D. research.

Programming Languages

Python, C, R

Machine Learning Frameworks

PyTorch, TensorFlow, Keras, Scikit-learn, Hugging Face Transformers

Data Science Tools

Pandas, NumPy, SciPy, Matplotlib, Seaborn, Jupyter

Graph & Network Tools

NetworkX, PyTorch Geometric, DGL

Other

LaTeX, Markdown, SQL, UNIX/Linux

Italian

Native

English

Fluent