Postdoctoral Fellows

Dr. Eve Limbrick-Oldfield

I competed my PhD at Imperial College London, focusing on imaging analysis and methodology, with a particular interest in imaging the nuclei of the human midbrain with high-resolution fMRI. During this time I was a member of both a human imaging lab, and a translational neuroscience lab.

Following my PhD training I joined Luke Clark’s lab at the University of Cambridge, investigating the behavioural and neural correlates of gambling and decision making in both patients with Gambling Disorder, and non-gambling participants. Using fMRI and behavioural tasks we investigated effects including the Gambler’s Fallacy, the near-miss effect, the Illusion of Control, and craving. These projects were funded by the Medical Research Council (UK), and I acted as lead researcher on this grant, eventually becoming Principle Investigator following Luke Clark’s move to UBC.

Now at the Centre for Gambling Research, my research focus has moved from investigating cognitive distortions to looking at the behavioural economics of gambling behaviour. This includes investigating gambling behaviour not just in patients, but also looking at behaviour in regular gamblers who do not gamble problematically. Using this approach, we hope to understand why gambling behaviour can persist in the face of inevitable financial losses, and how decision-making can differ between those people who gamble within their limits, and those that develop a problem.


Dr. Tilman Lesch

Before joining UBC’s Centre for Gambling Research, I completed my PhD at the Behavioural and Clinical Neurosciences Institute at the University of Cambridge, UK, on individual differences in decision-making under uncertainty. My PhD aimed at understanding how such differences are related to individuals’ willingness to engage in entrepreneurial behaviour. I am interested in investigating human behaviour from different perspectives, integrating knowledge about human cognition, brain mechanisms and formal decision-making models. I am particularly excited about applying data mining and other ‘Big Data’ tools to better understand larger trends of behaviour, to improve individuals’ decision-making and policy-making. At the Centre for Gambling Research, I am collaborating with BCLC to study online gambling behaviour, using machine learning to identify behavioural markers of disordered gambling.