Daniel Smith (Affiliate)

Genomic and data science approaches to understanding the pathophysiology of bipolar disorder

Portrait of Professor Daniel Smith
Professor Daniel Smith

Research in a Nutshell

I am interested in the genetic and non-genetic causes of bipolar disorder, with a particular emphasis on sleep and circadian dysfunction. My work uses a variety of methods, including clinical and genetic epidemiology, health informatics, brain imaging and data science, and I work with both patient and population cohorts.

I am also interested in using experimental medicine approaches to develop new treatments for bipolar disorder, such as chronotherapies.

People

Prof Daniel SmithGroup Leader, Chair of Psychiatry and Head of Division of Psychiatry
Dr Giulia GaggioniPostdoctoral Researcher
Dr Amy FergusonPostdoctoral Researcher
Aleks StolicynPostdoctoral Researcher
Tomasz ZielinskiResearch Fellow
Laura LyallHonorary Fellow
Breda CullenHonorary Fellow
Natasha SanghaPhD Student
Reesha ZahirPhD Student

Contact

d.smith@ed.ac.uk

 

 

Collaborations

  • Heather Whalley, University of Edinburgh
  • Andrew McIntosh, University of Edinburgh
  • Sue Fletcher-Watson, University of Edinburgh
  • Laura Lyall, University of Glasgow
  • Breda Cullen, University of Glasgow
  • Cathy Wyse, Maynooth University
  • Donald Lyall, University of Glasgow
  • Malcolm von Schantz, Northumbria University
  • Alice Gregory, Goldsmiths University of London

 

Scientific Themes

Bipolar disorder, genomics, epidemiology, sleep, circadian, informatics, data science

Technology Expertise

Clinical epidemiology, genetic epidemiology, data linkage

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