Gary Yu, PhD, is an associate research scientist and adjunct associate professor at NYU Rory Meyers College of Nursing. He has conducted statistical analyses of data on multiple NIH-funded research projects.

His dissertation focused on creating a new statistical technique for clustering individuals based on their patterns of responses (e.g., on a questionnaire of drug items). He extended the finite mixture model to allow for the number of repeated measures to be incorporated and contribute to the clustering of individuals. The dimension of the repeated measures can be summarized into a count of responses and can be assumed to follow a truncated Poisson distribution. This information can be included in what is called a dimension informative finite mixture model (DIMM) [NIH/NHLBI R01HL111195]. This model was originally developed and applied to continuous physical activity data, and it has been applied to binary drug items among men who have sex with men (MSM) in the United States and among male sex workers (MSW) in Vietnam.

Yu earned his PhD in biostatistics from Columbia University, MPH in epidemiology from Boston University, and BS in Bioengineering from the University of California, Berkeley.