Astrophysics PhD Student · University of Pittsburgh
I'm a final-year astrophysics PhD working at the intersection of machine learning, statistics, and astrophysics. I develop supervised and unsupervised deep learning/ML algorithms on large, noisy astronomical datasets to perform regression, classification, and uncertainty quantification. I am especially interested in algorithms that can learn from both labeled and unlabeled data to maximize scientific output from next-generation telescopes.
I write about topics at the intersection of astrophysics, machine learning, and data science. Some blogs are deep-dives about my published research, while others are about exploring algorithms I find interesting.
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