Danyu Lin (Chinese: 林丹瑜) is a Chinese-American biostatistician known for his contributions to survival analysis, statistical genetics, and infectious diseases.

[2][3][4][5][6] The statistical methods he developed have been incorporated into major textbooks[7][8] and software packages (SAS, R, Stata, SUDDAN[9]) and used in thousands of scientific studies.

His finding that meta-analysis of summary statistics is equivalent to joint analysis of individual-participant data[15][16] has enabled geneticists around the world to discover hundreds of thousands of genetic variants associated with thousands of complex human diseases and traits through meta-analyses of genome-wide association studies and next-generation sequencing studies.

Lin made important contributions to the prevention and treatment of COVID-19 by characterizing the time-varying effects of vaccines and prior infections, as well as the benefits of antiviral drugs and immunomodulatory agents.

Lin moved to the University of North Carolina at Chapel Hill at the end of 2000 to become the Dennis Gillings Distinguished Professor of Biostatistics.