About

Curiosity, translated into models of other worlds.

My research sits where planetary physics, space observations, and computation meet.

Tiziano Zingales
Padova · Italy

I am a Fixed-term Researcher and Assistant Professor at the University of Padua, specialising in exoplanet atmospheres, stellar systems, and space-mission science.

I combine CHEOPS, TESS, HARPS-N, JWST, Ariel, and PLATO-relevant data with Bayesian inference, multidimensional atmospheric retrievals, machine learning, and quantum-computing methods. The goal is to characterise exoplanets and connect their observed atmospheres with how planetary systems form and evolve.

My path began with physics and astrophysics at the University of Palermo, continued with a PhD at University College London, and expanded through postdoctoral research at CNRS in Bordeaux and the University of Padua. Across those stages, I have worked from target selection and mission planning to atmospheric models and intelligent inference.

“The most interesting questions emerge when the physics, the data, and the method all have to evolve together.”

Research interests

What I work on

Four connected threads shape my research programme.

01

Atmospheric retrievals

Transmission and emission spectroscopy, nested sampling, and multidimensional atmosphere models.

02

Planetary architecture

Light curves, radial velocities, stellar activity, Gaussian processes, and transit timing variations.

03

Machine learning

Deep learning, GANs, transformer acceleration, detrending, and spectral feature recognition.

04

Quantum methods

Quantum algorithms for future exoplanet spectroscopy and photometry.

Missions & consortia

Science is a team effort

I contribute methods, analysis, and leadership to international collaborations.

PLATO

Machine learning for light-curve detrending and new-planet discovery in WPs 111000 and 112000.

CHEOPS

Target selection, atmosphere studies, and contributions to the MR.Improve and Explore programmes.

GAPS / JWST

JWST observations, atmospheric retrievals, and research on Neptunian planets.

Ariel

Atmospheric Retrieval and Machine Learning working groups, including 2D models and AI.

Contact

Open to scientific conversations.

Research collaborations, invited talks, student supervision, and space-mission science.

Dr Tiziano ZingalesDepartment of Physics and AstronomyUniversity of PaduaVicolo dell'Osservatorio 3, 35141 Padova, Italytiziano.zingales@unipd.it