Dr. Lin’s research interests lie in statistical genetics and genomics. She is interested in development and application of statistical and computational methods for analysis of high-throughput genetic, genomic and ‘omics data in epidemiological, environmental and clinical sciences,  especially genetic and epigenetic epidemiology, genes and environment, and medical genomics. Current research projects include genome-wide array association studies, whole genome sequencing association studies, gene-environment interactions, and genome-wide DNA methylation studies, pathway and network analysis, and integrative genetics and genomics. She currently serves as the coordinating director of the Program of Quantitative Genomics of Harvard School of Public Heath http://www.hsph.harvard.edu/pqg.  Her methodological work is currently supported by the MERIT award from the National Cancer Institute on “Statistical Methods for Correlated and High-Dimensional Biomedical Data,” and the PO1  from the National Cancer Institute on “Statistical Informatics in Cancer Research.” She is the contacting PI for the training grant  entitled Joint training in biostatistics and computational biology.