Genomic and data science approaches to understanding the pathophysiology of bipolar disorder Image Professor Daniel Smith Research in a NutshellI 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.PeopleProf Daniel SmithGroup Leader, Chair of Psychiatry and Head of Division of PsychiatryDr Giulia GaggioniPostdoctoral ResearcherDr Amy FergusonPostdoctoral ResearcherAleks StolicynPostdoctoral ResearcherTomasz ZielinskiResearch FellowLaura LyallHonorary FellowBreda CullenHonorary FellowNatasha SanghaPhD StudentReesha ZahirPhD StudentContactd.smith@ed.ac.uk Daniel Smith - Research Information CollaborationsHeather Whalley, University of EdinburghAndrew McIntosh, University of EdinburghSue Fletcher-Watson, University of EdinburghLaura Lyall, University of GlasgowBreda Cullen, University of GlasgowCathy Wyse, Maynooth UniversityDonald Lyall, University of GlasgowMalcolm von Schantz, Northumbria UniversityAlice Gregory, Goldsmiths University of London Scientific ThemesBipolar disorder, genomics, epidemiology, sleep, circadian, informatics, data scienceTechnology ExpertiseClinical epidemiology, genetic epidemiology, data linkage This article was published on 2024-09-23
