CV
Contact Information
| Name | Vincenzo Di Florio |
| Position | Post-doctoral Research Fellow |
| Institution | MOX – Modeling and Scientific Computing, Politecnico di Milano |
| vincenzo.diflorio@polimi.it |
Professional Summary
Physicist and computational scientist working at the intersection of applied mathematics, numerical methods, and machine learning. My research focuses on biomolecular electrostatics — developing PDE solvers, Physics-Informed Neural Networks (PINNs), and Physics-Guided Neural Networks (PGNNs) — alongside non-equilibrium statistical dynamics.
Education
-
2021 - 2025 Turin, Italy
PhD in Pure and Applied Mathematics
Politecnico di Torino & Istituto Italiano di Tecnologia - Research topics: Biomolecular modeling, continuum electrostatics, software development for biological systems
- Thesis: Mathematical, Algorithmic and Numerical Solutions to Enhance Electrostatic Calculations for Biomolecules in Electrolytic Solutions
- Supervisors: Dr. Walter Rocchia, Prof. Lamberto Rondoni
-
2019 - 2021 Turin, Italy
Master's in Physics of Complex Systems
Università degli Studi di Torino - GPA: 110/110 cum Laude
- Related coursework: Statistical Physics and Mathematical Modelling
- Thesis: State equations and order fluctuations in 1D and 3D
- Advisor: Prof. Lamberto Rondoni
-
2016 - 2019 Trieste, Italy
Bachelor in Physics
Università degli Studi di Trieste - GPA: 110/110 cum Laude
- Related coursework: Major in Physics, minor in Numerical Analysis and Dynamical Systems
- Thesis: Quantum dots for quantum computation
- Advisor: Prof. Angelo Bassi
Experience
-
2025 - Present Milan, Italy
Research Fellow
MOX – Modeling and Scientific Computing, Politecnico di Milano - Developing hybrid physics-based models for biomolecular electrostatics
- Investigating non-equilibrium statistical dynamics and low-dimensional systems
-
2024 New York, USA
Internship
City College of New York (CUNY) - Integrated NextGenPB as an electrostatic solver within the MCCE workflow
- Developed benchmark applications for pK_a calculations
-
2018 Trieste, Italy
Internship
SISSA - Sparse identification of dynamical systems from data
Teaching
-
2024 Turin, Italy
Tutor – Methods for Environmental Engineering
Politecnico di Torino -
2022 - 2023 Turin, Italy
Teaching Assistant – Calculus 1
Politecnico di Torino -
2021 Turin, Italy
Teaching Assistant – Physics 1
Università degli Studi di Torino
Publications
-
2026 Computing nonequilibrium transport from short-time transients
Carbone D., Di Florio V., Lepri S., Rondoni L.
The Journal of Chemical Physics
-
2026 Patch-Based Ray Tracing in NanoShaper Boosts Molecular Surface Computation
Mazzeo M. D., Di Florio V., Rocchia W., Decherchi S.
Journal of Chemical Information and Modeling
-
2025 NextGenPB: An analytically-enabled super resolution tool for solving the Poisson-Boltzmann Equation
Di Florio V., Ansalone P., Siryk S. V., Decherchi S., De Falco C., Rocchia W.
Computer Physics Communications
-
2024 Microscopic state equation for oscillator chains
Di Florio V., Giberti C., Rondoni L., Zhao H.
The European Physical Journal Plus
-
2024
Skills
| Programming Languages | Python, C++, OCTAVE/MATLAB, Bash, Fortran |
| Scientific Computing | Numerical PDEs, Finite Element Methods, Poisson-Boltzmann solvers, PINNs, PGNNs |
| Tools & Frameworks | Git, Docker, NumPy, SciPy, Matplotlib, LaTeX |
| Operating Systems | Linux, macOS |
Languages
Italian : Native speaker
English : Fluent
Open Source Projects
-
NextGenPB
- Electrostatic solver for biomolecules based on the Poisson-Boltzmann Equation with analytical refinement and high-resolution accuracy