I am a Professor in the School of Psychological Sciences at Macquarie University in Sydney, Australia. My research is directed towards modelling the dynamics of human perception, action, and cognition for the development of human-machine systems. I have expertise in cognitive science, human factors, complex systems, motor-control, perception-action, social and multiagent interaction and coordination, AI, deep-learning, virtual-reality, data analytics, and computation and dynamical modelling.

As a cognitive scientist, with expertise in embodied cognition, social and perception-action psychology, motor control, complex systems, computational and dynamical modelling, and machine learning my research is directed towards identifying and modelling the lawful processes that underlie human perception, action, and cognition and then employing these models to development artificial agents and AI systems capable of robust and effective human interaction. I am particularly interested in understanding and modelling how the behavioural dynamics of everyday social and multi-agent behaviour emerge from the complex, nonlinear interactions that occur between the physical, biomechanical, neural, informational, and social/cultural properties of agent-environment systems. In addition to employing this complex systems framework for the development of interactive AI systems, working to advance the methodological and analytic tools of complexity science, including dynamical systems modelling, nonlinear time-series analysis, far-from-equilibrium thermodynamics, and symmetry principles within the fields of psychology, philosophy, cognitive science, and neuroscience have become a prominent feature of my research program.

I routinely supervise undergraduate, Honours, M.S and PhD students.  In the last 5-years, I have supervised numerous undergraduate and Honours projects, fourteen Masters students and twelve PhD students. My primary PhD supervisees have academic positions at such institutions as Stanford, Harvard and UC San Diego. In the next 3-years at MQ, 2 of my supervisees will complete PhDs, and I plan on recruiting three new Masters and PhD students.

I have taught a wide range of theoretical and quantitative courses in psychology, cognitive science, data analytics, and mathematical modeling. This includes undergraduate courses on psychological research, sensation and perception, perception-action, motor control, complex social and biological systems, and computer programing for social and behavioral science research, as well as advanced graduate level classes on statistical methods, behavioral time-series analysis, and complex systems and nonlinear dynamics modeling. My teaching philosophy is that students learn via active engagement and by integrating theoretical perspectives with practical hands-on research experience.