About

I am a postdoctoral research fellow at the RMIT Department of Economics, Finance, and Marketing. I focus on policy evaluation and applied econometrics work on large, linked administrative datasets like the ABS’s PLIDA. I am also very interested in machine learning methods to estimate heterogeneous treatment effects particularly the causal forest. In particular I am interested in ways to extract insights from a causal forest, and ways to use the method in quasi-experimental research designs.

Prior to my current role I worked at the Australian Treasury, Australian National University, and as a consultant doing quantitative research work.

My recent paper in the International Statistical Review called How Do Applied Researchers Use the Causal Forest? A Methodological Review includes a web appendix detailing the 133 papers identified.