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TEAM LADE
Davide Di Vora
Researcher at Laboratory of Data Engineering

I’m a PhD student at LADE and the University of Trieste, supervised by Francesca Cuturello and Alessio Ansuini.
With a background in Mathematics and Condensed Matter Physics, I dedicated my Master’s thesis to Molecular Dynamics simulations. Currently, as a PhD student, I am particularly interested in developing and applying Machine Learning and Deep Learning approaches to address challenging questions in computational biophysics.

Research Interests
  • Computational Biophysics
  • Physics-Informed Neural Networks
  • Molecular Dynamics
Experience & Education
  • MSc in Physics, University of Trieste (2023-2025)
  • BSc in Mathematics, University of Udine (2020-2023)
Latest Publications
09/06/2026
Decoding the Grammar of Protein-Protein Interaction Interfaces with Multimodal Representations
Abstract Protein-protein interactions govern essential cellular processes, making the identification of interacting sites a central…
Go to the news Decoding the Grammar of Protein-Protein Interaction Interfaces with Multimodal Representations