I am an assistant professor in the Division of Biostatistics at the University of Minnesota. I received my B.S. in mathematics at the University of Houston. I also studied mathematics and statistics at the University of Illinois at Urbana-Champaign. Before receiving my PhD, I spent six months at Technische Universität Kaiserslautern working with Prof. Jürgen Franke. I received my Ph.D. from the Department of Biostatistics at Brown University in January 2012 under the direction of Dr. Hernando Ombao. From 2012 January to 2013 July, I was a post-doctoral scholar in the Department of Psychiatry at the University of California at San Diego. I was then an assistant professor in the Department of Statistics at the University of Warwick.

My research focuses on the theoretical and methodological developments for analyzing high-dimensional time series data, with special applications to neuroimaging data. Neuroimaging experiments often require the analysis high-dimensional time series data, and so statistical analyses of neuroimaging data must account for the curse of dimensionality in the data in order to draw valid conclusions. Indeed, multivariate and high-dimensional time series data can be found in many other areas of applications, including systems biology and economic panel data.

Some of my collaborators include

Hernando Ombao (UC Irvine, Statistics), Rainer von Sachs (Université catholique de Louvain, Institut de statistique), Nicole Tang (University of Warwick, Psychology), and Ivor Cribben (University of Alberta, School of Business).