I’m a senior software an programming analyst at Princeton University. My work includes researcher engagement across the university for the research computing department and supporting computational research in the Physics department.

I earned my PhD at Monash University working on a range of topics in astrophysical Bayesian inference using gravitational-wave data with Eric Thrane. Following this, I worked as a postdoctoral researcher in astrophysical data analysis with the LIGO Laboratory at Caltech, as an MIT Kavli Institute postdoctoral fellow, and an Eric and Wendy Schmidt AI in Science Fellow at the University of Chicago.

Core research interests:

• developing high-quality flexible data analysis tools.
• understanding observed gravitational-wave transients.
• improving methods for Bayesian inference.
• leveraging modern computational techniques.
• exploring how AI can enhance gravitational-wave data analysis.