About Me

I am a University Researcher (RTDA) and Professor of Computational Astrophysics at the University of Padova, specializing in the study of exoplanetary atmospheres. My research focuses on modeling and analyzing exoplanet atmospheres through the development of Machine Learning algorithms and multidimensional models integrated with Bayesian analysis methods. I also develop quantum computing algorithms for analyzing spectroscopic and photometric data in exoplanet studies.

I am an active member of major international space missions including ARIEL, PLATO, CHEOPS, and GAPS consortia. Within CHEOPS, I lead the WP 3100 (Target Selection) and serve as the scientific reference for atmospheric modeling and retrieval on transmission and emission spectra. In the ARIEL consortium, I contribute with atmospheric retrieval models ad machine learning techniques. Finally, I test quantum computing algorithms for atmospheric data interpretation. Within the PLATO consortium I implement Machine Learning techniques to discovery new planets and improve data analysis to better interpret PLATO observations.

My work combines astrophysical modeling with cutting-edge computational techniques, including Deep Learning, Bayesian inference, and quantum machine learning, to advance our understanding of planetary atmospheres beyond our solar system.

Contact Details

Dr Tiziano Zingales
Università degli studi di Padova
Vicolo Dell'Osservatorio 3
35122 Padova
Italy

+39 (0)498278255
tiziano.zingales@unipd.it