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    3800 Clayton


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Personal profile


Dr Claire Foldi is a Research Fellow in the Department of Physiology at Monash University and a Group Leader in the Monash Biomedicine Discovery Institute (BDI) Metabolism, Diabetes and Obesity Program. She completed her PhD in Behavioural Neuroscience at the Queensland Brain Institute in 2012 under the supervision of A/Prof Thomas Burne and Prof Darryl Eyles. Following Postdoctoral training in electrophysiology at the Karolinska Institutet in Stockholm, Sweden, she was recruited to the laboratory of Prof Brian Oldfield at Monash University in 2015.

Dr Foldi’s research priority is to understand the neurobiological mechanisms that underlie serious psychiatric disease. She is particularly interested in the often-unreported response heterogeneity that occurs in single neurons, animal models and patients in the clinic. She believes that interrogating the mechanisms underpinning this variability will inform the development of more effective treatment strategies.

Claire's current work focuses on the impact of specific neural circuitries on feeding behaviour and body weight maintenance in anorexia nervosa. This work is funded by the Rebecca L Cooper Medical Research Foundation and the British Society for Neuroendocrinology. She is also determined to uncover genetic, behavioural and metabolic features that predispose individuals to disorders of reward-based feeding including anorexia nervosa and obesity.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Research area keywords

  • Anorexia Nervosa
  • Eating disorders
  • Animal models of psychiatric disease
  • Rodent behaviour
  • Obesity
  • Reward
  • Cognition
  • Resilience
  • Motivation
  • Ventral Tegmental Area
  • Prefrontal cortex
  • Neural circuit function
  • Dopamine


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