Nema Dean is the Q-step lecturer in the School of Mathematics & Statistics at the University of Glasgow. She received her Ph.D. in Statistics from the University of Washington in 2006. She has research interests in both the methodological and applied sides of Statistics. Her primary methodological interests are in developing new modelling techniques for unsupervised learning, spatial and spatio-temporal modelling, social network analysis and variable selection.
Through her previous work with AQMeN, she was involved in statistical modelling for different social science application areas including housing and criminology. In addition to this she has been involved in modelling educational testing and forensics data as well as disease mapping. She has also presented extremely successful short courses in the past for social scientists on the topics of cluster analysis, social network analysis and multivariate modelling.