Davide Rigoni, Ph.D.
I am Davide, a postdoctoral researcher in the Pharmaceutical and Pharmacological Sciences department at the University of Padova, where I aim to enhance the drug discovery process with artificial intelligence techniques under the supervision of Prof. Stefano Moro and Prof. Alessandro Sperduti. I also collaborate with Prof. Antonio Parbonetti on applying AI to generate knowledge graphs from unstructured data.
I am an active member of the Molecular Modelling Section and Machine Learning Group, as well as the Bioinformatics Italian Society (BITS) and the Institute of Electrical and Electronics Engineers (IEEE).
I earned my Ph.D. in Brain, Mind, and Computer Science (curriculum Computer Science and Innovation for Societal Challenges) from the University of Padova in collaboration with Fondazione Bruno Kessler. Throughout my doctoral program, I conducted research both at the University of Padova in the Machine Learning Group under the supervision of Prof. Alessandro Sperduti, and Fondazione Bruno Kessler in the Data and Knowledge Management Research Unit under the supervision of Prof. Luciano Serafini. Additionally, during my Ph.D. studies, I conducted a research period at the University of Copenhagen under the supervision of Prof. Desmond Elliott. Previously, I received my bachelor's and master's degrees from the School of Computer Science at the University of Padova. During my bachelor's studies, I also had the opportunity to participate in the Erasmus+ program at the Universitat Autònoma de Barcelona.
News
[10/2024] New Open Access journal: Tania Bobbo, Filippo Biscarini, Sachithra Yaddehige, Leonardo Alberghini, Davide Rigoni, Nicoletta Bianchi, and Cristian Taccioli. "Machine learning classification of archaea and bacteria identifies novel predictive genomic features". BMC Genomics 25, 955 (2024).
[10/2024] I'm thrilled to announce that the special session, "Foundation and Generative Models for Graphs," has been officially accepted as part of ESANN 2025! 🎉It is organized by: Davide Rigoni (me), Luca Pasa, Federico Errica, Daniele Zambon, Davide Bacciu, and Stefano Moro.
[09/2024] I’m excited to announce that I’ll teach the Machine Learning course for the MSc in Data Science at the University of Padova.
[07/2024] New paper accepted: Muhammad Uzair, Davide Rigoni, and Alessandro Sperduti. "Prompt based Data Augmentation using Contrastive Learning under low resource scenario". Accepted at ECAI 2024 - 27th European Conference on Artificial Intelligence, October 19 - October 24, 2024, Santiago de Compostela, Spain. 2024.
[06/2024] New Open Access journal: Rigoni, Davide, et al. "TumFlow: An AI Model for Predicting New Anticancer Molecules." International Journal of Molecular Sciences (2024), 25(11):6186.
[05/2024] Thrilled to announce that I have been accepted to present my work at the 20th annual meeting of the Bioinformatics Italian Society (BITS 2024), taking place from June 12-14 in Trento, Italy. I will be discussing TumFlow, my last work on generative models for new drug design.
[05/2024] Happy to share that I am now an official member of the Bioinformatics Italian Society (BITS).
[05/2024] New Open Access paper: Rigoni, Davide, et al. "Object search by a concept-conditioned object detector." Neural Computing and Applications (2024): 1-21.
