Talk Abstract: 

The availability of vast amounts of longitudinal data from electronic health records (EHR) and personal wearable devices opens the door to numerous new research questions. In this talk, Dr. Hua Zhou will describe his group's recent efforts in developing scalable statistical methods and computational algorithms for analyzing up to a million samples, millions of genetic markers, and intensively measured mobile health data in massive biobanks such as UK Biobank, NIH All of US, and Million Veteran Project.

Bio:
Dr. Hua Zhou is Professor of Biostatistics at UCLA Fielding School of Public Health, Professor of Computational Medicine at UCLA Geffen School of Medicine, and Director of the Master of Data Science in Health (MDSH) Program. Dr. Zhou’s research expertise includes statistical computing, electronic health records, smart health, statistical genomics, neuroimaging, and data science education. He is Fellow of the American Statistical Association (ASA). Dr. Hua Zhou oversees multiple National Science Foundation (NSF) and National Institutes of Health (NIH) grants as the Principal Investigator (PI). He serves on the editorial board of major statistical journals such as the Journal of American Statistical Association Theory and Methods, Annals of Applied Statistics, and Journal of Computational and Graphical Statistics.