Robert Suchting, Ph.D. is an Assistant Professor in the Department of Psychiatry and Behavioral Sciences at UTHealth, affiliated with the Center for Neurobehavioral Research on Addiction. Formally trained in social psychology and statistics, he applies quantitative methods to investigate clinical outcomes, including those found among substance abuse populations and individuals with psychiatric disorders. He specializes in data science (i.e., the use of machine learning algorithms to optimize prediction and automate pattern discovery) as well as quantitative methods via Frequentist or Bayesian inference, including generalized linear modeling, structural equation modeling, and multivariate statistics.