Meizhen Yao

I’m a Biostatistician in the Department of Environmental Medicine and Public Health at Icahn School of Medicine, Mount Sinai, working with Damaskini Valvi and Megan K Horton. My primary research interest focuses on studying the impact of preconception and prenatal exposure to environmental chemicals on health outcomes during the life course.

As a biostatistician with a focus on environmental epidemiology, I have extensive experience applying statistical methods to identify environmental risks that impact public health. My research experience includes expertise in a wide range of statistical techniques such as environmental mixture modelling, metabolome-wide association study (MWAS) and high-dimensional data analysis, among others. I am constantly exploring new statistical methods to bring new insights to the environmental epidemiology field, and I am passionate about utilizing cutting-edge statistical tools to address complex research questions. My love for coding allows me to manipulate and analyze data in an efficient and effective manner, and I am always looking for new ways to apply my skills to make meaningful contributions to public health.

Previously I received my Bachelor of Medicine from Xinxiang Medical University in China. And I earned my Master of Science in Biostatistics from Rutgers School of Public Health in New Jersey under Dirk Moore. Outside of work, I enjoy long-distance riding, traveling, and movies, but mostly spending quality time with my loved ones.