Dr Andy Casey works on computational data analysis problems across multiple fields of research, with a primary focus in astrophysics. Specifically, Casey aims to combine physically interpretable models with data-driven methods to drive a generational advancement in stellar astrophysics. Casey's research interests and expertise is broad, spanning astrophysics, engineering (aerospace), biology, statistics, optimisation, Bayesian inference, artificial intelligence (AI and data science), as well as algorithms and more general computational data analysis problems.

Dr Andy Casey received his PhD in Astronomy & Astrophysics from the Australian National University (Canberra). During his PhD he spent time at the Massachusetts Institute of Technology (Boston) as a visiting graduate student and a recipient of the Australian Prime Minister's Endeavour Award. In 2014 he started as a post-doctoral research fellow at the University of Cambridge, where he was a Senior Member (CRA) with King's College. In 2017 Casey accepted a research fellowship in astrophysics and statistics at Monash University. In September 2019 Casey will start on a Discovery Early Career Researcher Award from the Australian Research Council.

I am available for consultation on any data analysis problems in any field.