I’m a Research 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 relevency 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 leverage many statistical and computational approaches. For example, I am currently using machine learning and Bayesian process models to forecast the mental endurance of individuals working in extreme-work contexts.

I also still conduct lab-based simulation research where I apply models of cognitive processes (e.g., prospective memory) to simulations of complex dynamic tasks. My PhD thesis focused on the effects of interruptions on memory in simulated air traffic control.

Michael David Wilson.