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About
About
Computer Engineer and Ph.D. in Data Science
I'm a Junior Research Group Leader (LAIF Research Group) at the Lamarr Institute and the Life Science Informatics and Data Science Department at the University of Bonn and an Assistant Professor at the Nara Institute of Science and Technology.
My research interests are in the field of AI for medicine, mainly focusing on deep learning and XAI in bioinformatics and chemoinformatics.
Education
Education
Ph.D. in Data Science, Sapienza University of Rome. Summa cum Laude.
Doctor Europaeus.
Visiting Ph.D. researcher at the University of Bonn (Germany).
MSc in Engineering in Computer Science, Sapienza University of Rome. 110/110 Summa cum Laude.
Excellent Graduate A.Y. 2018/19.
Honours Programme.
Erasmus Programme at Polytechnic University of Catalonia (Barcelona, Spain).
BSc in Computer and System Engineering, Sapienza University of Rome 110/110 Summa cum Laude.
Honours Programme.
High School Degree, Liceo Scientifico A. Labriola, 100/100 Summa cum Laude.
Publications
Publications
Latest research
Latest research
Madeddu, F., Testa, L., De Carlo, G., Pieroni, M., Mastropietro, A., Petti, M., Anagnostopoulos, A., Tieri, P., & Barbarossa, S. VitaGraph: building a knowledge graph for biologically relevant learning tasks. Scientific Data 13, 1045 (2026).
Teja Urrutia, M.J., Mastropietro, A. & Bajorath, J. Explainable artificial intelligence reveals divergent learning in pharmacophore-based hierarchical pooling graph neural networks. Scientific Reports 16, 19794, 2026.
Mastropietro, A., & Bajorath J. Explaining a molecular diffusion model, Cell Reports Physical Science, Cell Reports Physical Science 7, 103270 (2026).
For a full list of my publications, see here.
Teaching
Teaching
For courses/labs, click here.
Achievements, Grants & Awards
Achievements, Grants & Awards
2025
2025
Best Ph.D. Thesis Award on Big Data & Data Science (CINI National Lab and ITADATA2025)
2024
2024
Recipient of the first Lamarr Stipendium Program Fellowship for postdoctoral researchers.
2023
2023
My joint research with Gianluca De Carlo "Enhancing Drug Repurposing via Explainable Geometric Deep Learning for Knowledge Graphs " won the grant Fondi di Avvio alla Ricerca Tipo 1.
2022
2022
My research "Explaining Graph Neural Networks in Medicinal Chemistry" won the grant Fondi di Avvio alla Ricerca Tipo 2.
2021
2021
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).
2020
2020
Copernicus Masters 2020 - ESA DTE Challenge and Copernicus Prize Italy winners: U-GEO, Urban Green from Earth Observation.
Contacts
Contacts
If you are interested in collaborating, drop an email to one of the following addresses:
UniBonn email: mastropietro [at] bit.uni-bonn.de
NAIST email: andrea.mastropietro [at] naist.ac.jp
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