Our Team

Professor Scott Brown

Professor
School of Psychological Sciences

I use cognitive models, often of decision-making, to help understand human cognition. My work explores the workings of attention, performance, and preferences, in both basic science and applied domains. I apply tools from cognitive science to areas like human-machine interactions and decision-making by medical patients and other consumers. By integrating psychological theory with computational or formal models, I aim to advance our understanding of human judgment in both experimental and real-world settings.

Professor Ami Eidels

Professor
School of Psychological Sciences

Research Focus

My research focuses on information-processing models, and how various sources of information are processed and combined. My students and I study how cognitive workload affects the efficiency of processing and the capacity of our cognitive system, in the lab and in applied settings. We also scale-up cognitive modeling and machine learning techniques to study performance of human-human and human-bot teams. We conduct lab-based experiments, develop models of human cognition, and collaborate with various Defence and Industry partners.

Assoc Prof Guy Hawkins

Associate Professor
School of Psychological Sciences

I investigate how people focus on the right information and make effective decisions. My research explores the cognitive processes that underpin attention, information processing, and decision-making, from basic perception to complex real-world choices. My team and I use experiments, analyse diverse data sources, and develop models to better understand how people think and act. Our work aims to improve human performance and inform smarter designs in technology, safety, and decision-support systems.

Dr Quentin Gronau

Lecturer
School of Psychological Sciences

My research interests are mathematical psychology, where computational cognitive models are used to study behaviour and cognition, the theoretical development and practical implementation of Bayesian analyses, with a particular focus on Bayesian model comparison and computational methods for estimating Bayes factors, and open science. My current research focuses, among other topics, on AI-assisted decision making

Dr Rachael Wynne

Lecturer
School of Psychological Sciences

My research interests centre on the intersection of Human Factors and cognitive psychology – specifically the way experience and expectation influence our interactions with the environment, and the subsequent effect that has on our attention and memory. The research I have worked on covers a variety of areas related to memory, cognition, road safety, and human factors: false memory effects, working memory capacity, visual attention of novice and experienced drivers, beach driving, design of CCTV networks, hazard perception in cyclists, and experience in e-sports. I have worked with government and industry partners including working on multiple projects with the Australian Automobile Association related to distracted driving, and Innovate UK for the design of an Open Flight Deck

Former Group members

Dr Titia BendersDr Ken SuttonDr Adam Osth
Dr Kerry ChalmersProfessor Simon DennisDr Don van Ravenzwaaij
Professor Andrew HeathcoteDr Emily Freeman 

Past Graduates

Dr Asheek ShimulDr Murray BennettDr Jon-Paul Cavallaro
Dr Reilly InnesDr Jade GoodmanDr Zachary Howard
Dr Nathan EvansDr Pete CasseyDr Laura Hall
Dr Chris DonkinDr Dane PobolkaDr Pennie Gibbins
Dr Sam CurleyDr Babette Rae Dr Heidi Turon
Dr Melissa PrinceDr Paul GarrettMr David Elliott
Dr Gabriel TillmanDr Beatrice BoraDr Phillipa McKay
Dr Lee AverellDr Paul Williams