Resume
Work Experience
University Researcher (RTDA) - Università degli Studi di Padova
Modeling and analysis of exoplanetary atmospheres. Development of Machine Learning algorithms and multidimensional models integrated in Bayesian analysis methods for the study of exoplanetary atmospheres. Development of quantum computing algorithms for spectroscopic and photometric data analysis for exoplanet studies.
Research Fellow - Università degli Studi di Padova
Analysis and modeling of light curves for the CHEOPS space mission. Construction of Artificial Intelligence and Quantum Computing algorithms in the study of exoplanet properties and data analysis from HST, JWST, and Ariel.
PostDoc in Astrophysics - CNRS, Laboratoire d'Astrophysique de Bordeaux
Modeling and analysis of exoplanetary atmospheres. Development of Machine Learning algorithms and multidimensional models integrated in Bayesian analysis methods for the study of exoplanetary atmospheres.
Education
PhD in Physics and Astronomy - University College London
Thesis: "Characterisation of exoplanetary atmospheres: from target
selection to feature recognition using deep learning"
Developed ExoGAN, a Generative Adversarial Network for modeling
exoplanetary atmospheres. Demonstrated that the ARIEL space mission can
analyze at least 1000 atmospheres within 4 years. Supervisors: Prof
Giovanna Tinetti, Dr Giuseppina Micela, and Dr Ingo Waldmann.
MSc in Physics - Curriculum Astrophysics - Università degli Studi di Palermo
Thesis: "Study of Exoplanets: Orbital evolution of Extrasolar Giant
Planets"
Supervisors: Prof Giovanni Peres and Dr Giuseppina Micela.
BSc in Physics - Università degli Studi di Palermo
Thesis: "Study of extrasolar planets with EChO"
Supervisors: Prof Giovanni Peres and Dr Giuseppina Micela.