I am an observational astronomer and an observational cosmologist by training. My academic research interests can be broadly classified into two categories: understanding and constraining physics from large cosmological datasets and developing statistical models to analyze such datasets. During my Ph.D. I mostly focused on understanding how a novel tracer of the Large-Scale Structures, the Emisison-Line Galaxies (ELGs), can be used to constrain cosmological models in the context of the Dark Energy Spectroscopic Instrument (DESI). This thesis involved both modeling various theoretical and observational systematics, as well as designing a Bayesian framework to constrain cosmological parameters.
Additionally, I have worked on various Milky Way-related observational projects such as characterizing the high-velocity clouds in the Milky Way halo, characterizing T Tauri stars in the Orion OB1 association, and measuring the height of the Sun above the Milky Way plane.
As a new postdoc, I am now excited to venture into Machine Learning and Artificial Intelligence-driven projects and to understand how we can use these powerful techniques to study our Universe with unprecedented precision. I am also interested in exploring the bridge between theory and observation - how do we know that we have learned something new about a model from data? If you are interested in collaborating, please reach out!