Dr. Ruggero Vasile

Scientific Programming, Data Engineering, Data Scientist, Machine Learning Engineering, Project Manager

Research: Complex network approaches to transport phenomena. Climate variability and forecast with focus on ENSO (El Nino Southern Oscillation). Technical aspects: development of machine learning solutions for forecasting climate events. Partecipation and presentations to conferences.

Research topics: Open system dynamics of quantum oscillator networks, dynamics of Majorana Fermions in semiconducting nanowires, network approach to classical transport phenomena in geophysical situations (sea and atmosphere). Partecipation and presentations to conferences and seminars.

Post-Doc Position working on roles of quantum correlations in quantum computing algorithms. Partecipation and presentation to conferences and seminars.

Subjects: Theory of open quantum systems, quantum correlations and quantum computation. Grade: With honours

Theoretical Physics Degree: Atomic and Molecular Physics, Advanced Quantum Mechanics, Classical and Quantum Field Theory, General Relativity, Advanced Mathematical Methods. Grade: 110/110 cum laude

General Physics Bachelor Degree. Grade: 110/110 cum laude