Davide Rigoni, Ph.D.
I am Davide, a postdoctoral researcher at the University of Padova, Italy. I am an active member of the MMS and MLG groups, focusing my research on the applications of machine learning under the supervision of Stefano Moro and Alessandro Sperduti. My interests include exploring deep generative models in the domain of new drug and material generation and investigating deep learning models for visual-textual grounding.
I earned my Ph.D. in Brain, Mind, and Computer Science 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 MLG group under the supervision of Alessandro Sperduti, and Fondazione Bruno Kessler in the DKM group under the supervision of Luciano Serafini. I conducted a research period at the University of Copenhagen under the supervision of 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
[06/2024] New Open Access paper: 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.
[02/2024] New preprint: Rigoni, Davide, et al. "TumFlow: An AI Model for Predicting New Anticancer Molecules." bioRxiv (2024): 2024-02.
[01/2024] A Gradio custom object displaying a gallery of 2D molecular structures. [GitHub][pip][DEMO]
[01/2024] A Gradio custom object displaying a gallery of interactive 3D molecular structures. [GitHub][pip][DEMO]
[01/2024] Special Session Deep Learning for Graphs accepted at the 2024 IEEE International Joint Conference on Neural Networks, World Congress on Computational Intelligence (WCCI), which will be held in Yokohama, Japan, June 30 - July 5, 2024.