I am a doctoral candidate in the psychology department at the University of Kansas studying quantitative psychology with a doctoral minor in computer science. My personal work is in the domain of Bayesian Latent variable modeling. I teach linear regression courses, and am well versed in general behavioral research methods such as: linear modeling, multi-level modeling, latent variable approaches, longitudinal methods, clustering methods, principal component methods, and Bayesian approaches. My language of choice is R and have been teaching and using R for 6 years. I prefer STAN for Bayesian models, but am familiar with Jags and Bugs. I also have experience with supervised machine learning algorithms like LEM2, and unsupervised methods like cluster analysis. My research method of choice is simulation studies (monte-carlo) and frequently answer my own questions by writing simulations in R.