Dr. Daniel Carey
Daniel Carey is the Statistician at TILDA. Dan has a background in Psychology and Cognitive Neuroscience, and has worked heavily within auditory and speech science research. Dan's research interests include: development and plasticity; longitudinal research methods; population sampling; sensorimotor processing and expertise; functional and structural neuroimaging; cortical mapping; vocal tract imaging; MR image processing; Representational Similarity Analysis and multi-variate statistical methods.
Dan studied Psychology at UCD, graduating with a first-class honours degree in 2009. Dan was subsequently awarded a MSc in Cognitive Neuroscience from University College London in 2010, and pursued an EC funded Marie Curie PhD Fellowship at the Centre for Brain and Cognitive Development, Birkbeck College in London, between 2011 and 2014. Dan held a Post-Doctoral position at Royal Holloway University of London from 2015-2016, where he developed the first Representational Similarity Analysis framework to use vocal tract MR images as the basis of models for searchlight analyses of speech fMRI data. Dan provides statistical support to TILDA projects, and continues to work in the areas of speech sensorimotor processing, and functional neuroimaging.