Research

I am deeply involved in the preparation of a major observational program that will be conducted with the Near Infrared Spectrograph (NIRSpec) onboard the James Webb Space Telescope (JWST). The NIRSpec Guaranteed Time of Observations (GTO) program will provide us with thousands of high-quality spectra of very distant galaxies, which we will use to understand the physical process driving the formation of early galaxies and their role in cosmic reionization.

More generality, I am primarily interested in studies of stellar populations and the interstellar medium of galaxies, to constrain the way in which galaxies formed and evolved in a broad cosmological context. I am also deeply interested in developing new tools to improve estimates of galaxy physical parameters from observed spectral energy distributions by means of spectral evolution models.

I am also interested in applying advanced statistical methods, such as Markov Chain Monte Carlo, Machine Learning algorithms (e.g. Gaussian Random Process) and Monte Carlo methods, to improve the exploitation of current and future large galaxy surveys.

Interests

  • Spectral modelling of galaxies
  • Interstellar medium
  • Stellar populations
  • First galaxies
  • Cosmic reionization
  • Bayesian statistics (e.g. Markov Chain Monte Carlo)
  • Machine learning (e.g. Gaussian random process)