I’m a Forrest Prospect Fellow at the Future of Work Institute, Curtin University. My research broadly spans human factors, cognitive psychology, and the interaction between people and technological systems. I enjoy solving questions of applied relevancy with complex data and robust modelling techniques.
I follow a demand-driven research model, engaging with industry stakeholders to conduct field experiments that concurrently improve workplaces and scientific knowledge. I enjoy learning and leveraging a wide variety of statistical and computational approaches in my research. I am particularly interested in continuous time dynamic models, Bayesian process models, and supervised machine learning.
I also conduct lab-based simulation research in which I apply models of cognitive processes (e.g., prospective memory) to simulations of complex dynamic tasks. This was the focus of my doctoral thesis which examined the effects of interruptions on memory in simulated air traffic control. I am passionate about scientific programming and software, and can often be found tinkering in Emacs or VSCode.