Selected publications and projects in cosmology, large-scale structure, and observational astronomy
My astrophysics research focuses on understanding the large-scale structure of the universe through Lyman-alpha (Lyα) forest tomography and observational surveys. I work with cutting-edge simulations and machine learning techniques to model galaxy formation, protoclusters, and the intergalactic medium. I'm a member of the HETDEX and LATIS collaborations.
We forecast the capability of current-generation 3D Lyα tomographies (e.g., LATIS) for detecting progenitors of galaxy clusters and groups at cosmic noon. This has important applications in understanding environmental galaxy evolution.
In collaboration with LATIS, we discovered that the largest observed galaxy protoclusters host very few UV-selected galaxies compared to dark matter halo predictions. Published in Nature, these findings provide new insights about galaxy formation in extreme cosmic environments.
We study how 3D large-scale structure observed in Lyα tomographies can improve the signal-to-noise detection of upcoming molecular line intensity maps (COMAP) and remove interloper signals contaminating End of Reionization explorations (TIME).
As a postdoctoral researcher at UT Austin, I contribute to the HETDEX survey—one of the largest spectroscopic surveys ever conducted. My work involves data processing, analysis pipelines, and ML-based source classification.
View my complete and up-to-date publication record on NASA ADS.
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