We are involved in the TESS collaboration to identify and characterize exoplanets by means of the photometric transit. So far, we have contributed to the discovery of six planets in two different planetary systems.
We are currently reducing and analysing HST-WFC spectra in order to identify fundamental constituents of Exoplanets' atmospheres.
We are involved in the vetting efforts for the TESS mission: the process consists in the validation of signals to rule out false positive scenarios, like eclipsing binaries. Related to that, we are members of the citizen science project Planet Patrol.
We are currently developing a new machine learning approach, based on a Deep Neural Network, to perform an automatic, efficient and reliable binary classification of TESS light-curves, in planet candidate and non-transiting planet (NTP), without the needs of human supervision.
We are active in the field of study of habitability and exobiology. Our current work focuses on understanding the conditions in which oxygenic photosynthesis could sustain biomass on Earth-like exoplanets.
We are involved in studying the chemistry composition of protoplanetary disks with ALMA data with great interest towards those molecules essential for life.