Over the past two decades, a variety of observational techniques have enabled detailed studies of exoplanet atmospheres, revealing their chemical compositions, thermal structures, and atmospheric dynamics.
Among the most productive methods are low-resolution transit and eclipse spectroscopy, phase curves, and high-resolution Doppler spectroscopy. However, extracting the planetary atmospheric signal remains a major challenge, as it is often entangled with instrumental systematics, stellar activity, and other astrophysical noise sources.
In this talk, I will present data detrending and modeling techniques I have developed to disentangle these contributions, with a particular focus on leveraging the synergies between low- and high-resolution spectroscopic data to reduce interpretation degeneracies. I will highlight recent results from the application of these methods to selected exoplanetary systems of particular interest. Finally, we will discuss how a holistic approach can maximize the scientific return of current and upcoming observatories, including JWST, Ariel, PLATO, and ANDES.