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Min GAO

PhD

Researcher

  • MSc, DPhil supervisor
  • Fellow of Wolfson College

Metabolic Health and Depression, Data Science, Health Behaviours Intervention

Min Gao is an Epidemiologist and Health Behaviour Scientist with a particular interest in understanding how metabolic health is linked to depression through data science, and how to break this link via modifiable health behaviours.

Min has been leading NIHR ARC-funded observational and genetic research to explore the associations and mechanisms linking obesity and cardiometabolic disorders with depression, using datasets such as UK Biobank, Qresearch and CPRD datasets.

Min has been exploring the therapeutic effects of targeting metabolic health via health behaviours (diet and drug repurposing) for depression. Min is currently leading a BRC-funded dietary intervention in people with treatment-resistant depression (DIME study), and repurposing metabolic drugs for depression. Min has conducted clinical trials in China using Social Support Theory, Behavioural Change Theory, and Digital Tools to help patients with T2DM to manage their weight and health behaviours. 

Min welcomes world-wide collaborations in these research areas and accepts requests for co-supervision of Oxford DPhil and MSc students in relevant areas.