Mengling Liu, PhD

My research is primarily focused on developing and applying statistical methods and algorithms for analyzing biomedical data, with the goal of identifying important signals and messages from data to improve human health.

I led multiple NIH-funded projects as the PI, MPI, or sub-contract PI on developing innovative statistical methods for the analysis of complex survival and longitudinal data, investigating population heterogeneity in pooling projects, and building breast cancer risk prediction models. Currently, I’m leading an R01 project on developing statistical methodology for evaluating time-dependent environmental mixtures.

I have a broad range of collaborations with clinical and basic science investigators from multiple departments at NYU Langone, supporting statistical needs in biomedical projects. As the Graduate Advisor for our Biostatistics PhD Program in the Vilcek Institute of Graduate Biomedical Sciences, I work closely with our graduate students on training and research during their entire course in the program.