معرفی
Roberto Menichetti is a theoretical physicist at the University of Trento, affiliated with the Department of Physics and the VARIAMOLS research group. His work integrates computational physics, statistical mechanics, and machine learning to model biomolecules and soft matter systems. Prior roles include postdoctoral research at the Max Planck Institute for Polymer Research (2016-2018) and academic training at the University of Rome 'La Sapienza'.
- PhD in Physics (La Sapienza, 2016)
- BSc/MSc in Physics (La Sapienza, 2012)
His research spans:
- Coarse-Graining Methods for polymers, colloids, and biomolecules
- High-throughput Molecular Dynamics Simulations in drug-membrane permeability studies
- Integration of Machine Learning with physical models for multi-scale analysis
- Applications in Biophysics (e.g., chromatin condensates, protein dynamics)
Article trends highlight his focus on computational frameworks like EXCOGITO and theoretical investigations of non-equilibrium systems and allosteric regulation. He actively develops tools for systematic model reduction and conformational sampling in biomolecular systems.
Contact: roberto.menichetti@unitn.it
