Accepting PhD Students

PhD projects

Research projects available on (nearly) anything to do with data analysis. If you're a prospective student then you should contact me because I give my best ideas to students and those change as quickly as research does.


Research activity per year

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Personal profile

Research interests

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.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 8 - Decent Work and Economic Growth

Research area keywords

  • Astrophysics
  • Stellar Astrophysics
  • Data analysis
  • Bayesian statistics
  • Inference
  • Machine Learning
  • AI and data science
  • Data science
  • Deep learning
  • Probabilistic Graphical Models (PGM)

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or