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)