PhD student in Data Science with a computer engineering background. My research area is AI for medicine, with a particular focus on neural network explainability techniques for bioinformatics, chemoinformatics and medical applications.
2019 - present: PhD Student in Data Science (Sapienza University of Rome)
Sept 2022 - Feb 2023: Visiting PhD Student at the Department of Life Science Informatics at the University of Bonn (Germany) under the supervision of Prof. Jürgen Bajorath. During my visit, I worked on projects focused on graph neural network explainability in chemoinformatics.
2017 - 2019: MSc in Engineering in Computer Science (110/110 cum Laude - Sapienza University of Rome) - Excellent Graduate, Honors Program, Erasmus Program (Polytechnic University of Catalonia, Spain)
2014 - 2017: BSc in Computer and System Engineering (110/110 cum Laude - Sapienza University of Rome) - Honors Program
Awards and grants:
2022: Avvio alla Ricerca Tipo 2 with the project "Explaining Graph Neural Networks in Medicinal Chemistry"
2021: Avvio alla Ricerca Tipo 1 with the project "Neural Network Interpretability in Bioinformatics"
2021: Best poster award at ACDL 2021 - “Feature Selection in Neural Networks via Rank Aggregation”
2020: Copernicus Masters - Winner of European Space Agency DTE Challenge and Italian Space Agency Prize
Activist for the Network Medicine Exploratory in the SoBigData++ project