I'm a Computer Engineer and a Ph.D. candidate in Data Science at the Department of Computer, Control and Management Engineering (DIAG) of Sapienza University of Rome.
My research interests are in the field of AI for medicine, mainly focusing on deep learning in bioinformatics and chemoinformatics.
From September 2022 to February 2023, I was a visiting Ph.D. researcher at the Department of Life Science Informatics and Data Science, B-IT, LIMES Institute at The University of Bonn. I work here under the supervision of Prof. Jürgen Bajorath.
Ph.D. Student in Data Science, Sapienza University of Rome.
Visiting Ph.D. student at University of Bonn (Germany).
MSc in Engineering in Computer Science, Sapienza University of Rome. 110/110 Magna cum Laude.
Excellent Graduate A.Y. 2018/19.
Erasmus Programme at Polytechnic University of Catalonia (Barcelona, Spain).
BSc in Computer and System Engineering, Sapienza University of Rome 110/110 Magna cum Laude.
High School Degree, Liceo Scientifico A. Labriola, 100/100 cum Laude.
Achievements, Grants & Awards
My research "Explaining Graph Neural Networks in Medicinal Chemistry" won the grant Fondi di Avvio alla Ricerca Tipo 2.
My research "Neural Network Interpretability in Bioinformatics" won the grant Fondi di Avvio alla Ricerca Tipo 1.
Best presentation/poster award: "Feature Selection in Neural Networks via Rank Aggregation", 4th Advanced Online & Onsite Course on Data Science & Machine Learning (ACDL 2021).
Email: mastropietro [at] diag.uniroma1.it
Office: Room A101 - Department of Computer, Control and Management Engineering (DIAG). Via Ariosto 25, Rome.