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Andrew Casey works on computational data analysis problems across multiple fields of research, with a primary focus on astrophysics. He aims to combine physically interpretable models with data-driven methods to drive advancements in stellar astrophysics. His research interests span astrophysics, aerospace engineering, biology, statistics, optimization, Bayesian inference, artificial intelligence, data science, algorithms, and other computational data analysis problems. He received his PhD in Astronomy & Astrophysics from the Australian National University and spent time at the Massachusetts Institute of Technology as a visiting graduate student. In 2014, he began post-doctoral research at the University of Cambridge as a Senior Member at King's College. In 2017, he accepted a research fellowship in astrophysics statistics at Monash University, and in September 2019 he began a Discovery Early Career Researcher Award project funded by the Australian Research Council. His expertise contributes to the UN Sustainable Development Goals.
Monash University • Melbourne
Teaching and conducting research in astrophysics and related fields.
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