Runze Cui

Runze is a Master student in the Department of Biostatistics at Columbia University's Mailman School of Public Health. He is enrolled in the Public Health Data Science track, which places a strong emphasis on addressing epidemiological questions using statistical theory, skills, and powerful softwares such as R, SAS, and SQL. He has actively participated in various projects, including study on epigenetic clocks, human allostatic loads, and the development of new statistical algorithms. His research interests encompass causal inference, life courses, machine learning, and biostatistical methods.

Currently, Runze is working with Dr. Belsky and Dr. Ryan on the 'clocks and cells' project, aiming to understand how variations in relative white blood cell abundances among individuals impact epigenetic clock estimates of aging and whether blood cell composition may confound associations between exposures and clock measurements.

Contact at rc3521@cumc.columbia.edu.