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As a PhD student at UC Berkeley in observational cosmology, I develop scalable pipelines to automatically detect galaxies in terabytes of multi-color imaging data. My team has spent the last four years collecting about 100 TBs of images using three professional (2-4 meter mirror) telescopes. The primary codebase I work on has detected and modeled about 1 billion galaxies and stars in this data set. After my PhD, I want to use the image analysis, high performance computing, machine learning, and statistics I've learned to solve real-world problems in society.