His research interests include statistical methods in functional magnetic resonance imaging (fMRI), time series analysis, methods for high dimensional data, graphical models and non-parametric statistics. He has taught many statistics courses, including Introduction to Statistics, Forecasting for Planners and Managers and Multivariate Data Analysis. In 2008, he was awarded the Howard Levene Outstanding Teaching Award by Columbia University and completed two summer internships (2008, 2009) at Goldman Sachs Group, New York. Dr. Cribben holds a BA in Mathematics from Trinity College Dublin, an MSc in Applied Statistics from University College Dublin, and a PhD in Statistics from Columbia University. Cyffka, Kristen