Novel methodologies in atmospheric modeling

My research involves developing innovative numerical techniques and statistical methods to improve the accuracy and efficiency of atmospheric models. We focus on enhancing our ability to interpret complex spectroscopic data from next-generation telescopes.

By integrating advanced computational tools and machine learning approaches, we aim to push the boundaries of what can be inferred about the physical and chemical properties of distant worlds.