About Me
Ph.D researcher in astrophysics at the University of Milano, working on protoplanetary discs, planet formation and automatic methods for the characterization of young planets. I run numerical simulations of protoplanetary disc models, use and develop deep learning models for simulation-based inference (SBI) and apply the developed pipelines to actual observations.
SBI AI/ML Numerical modelling Protoplanetary disks Planet-disk interaction
Publications
Experience
Ph.D. Researcher
Univeristà degli Studi di Milano (Italy)
- Supervisors: Prof. Giuseppe Lodato and Prof. Giovanni Pietro Rosotti.
- Project: 'Design of simulation-based-inference methods for the characterisation of young planets from dust morphologies and kinematical signatures in discs'
Summer research intern
European Southern Observatory (ESO, Garching, Germany)
- Fully funded six weeks research programme.
- Project: Reflection Nebulae as signposts of young star interactions with molecular clouds. In this project I compiled a dataset of reflection nebulae close to YSO in the Corona Australis star-forming region. I then performed some analysis of this dataset and started developing an automatic way to look for reflection nebulae in other star forming regions.
Education
Master’s degree in physics
Università degli Studi di Milano (Italy)
- Graduated 110/110 cum laude
- Astrophysics and data physics curriculum. Focus on protoplanetary discs, data analysis and machine learning
- Thesis: 'DBNets: a deep learning tool to characterize young planets in dusty discs'. Supervisors: Prof. Giuseppe Lodato, Prof. Giovanni Rosotti. This work led to one publication (Ruzza et al., 2024) and the tool developed was made public. It is a follow-up of my bachelor’s thesis with improved data, the addition of an uncertainty quantification method and the evaluation of how different factors contribute to the prediction error.