Main interests include development of Structural Equation Models (SEM) for analyzing genetically sensitive family and twin data, in particular where ascertainment correction is required. This is the case when working with hospital ascertained samples of affected probands (e.g. schizophrenia, bipolar disorder) or when investigating the relationship between a disorder and endophenotypes. Other topics include genetic modelling of Latent Class membership, Gene x Environment interactions and correlations in SEM, and the application of Genetic Growth Curve modelling to describe the genetic factors influencing dynamic systems. The program currently used for genetic SEM is the new OpenMx, a free and open source software for use with R that allows estimation of a wide variety of advanced multivariate statistical models. The SGDP Summer School is one of the only two formal international courses teaching Twin Model Fitting in OpenMx.