He received his PhD in Biostatistics from the University of Michigan in 2002. His current research in statistics is on ordinal data analysis, linear transformation models, and large-scale data analysis. He has also worked on statistical genetics for nearly two decades, and has developed methods for a wide variety of data and analysis types in human genetics studies, ranging from linkage and association analyses to design and evaluation of genome-wide association studies, and to design and data processing of next-generation sequencing studies. He is currently working on developing methods to efficiently analyze Hi-C data and single-cell RNA-Seq data.