报告人： Paul S. Albert
时间：2019-10-21 15:00-16:30 pm
地点：Room 77201, Jingchunyuan 78
Circadian rhythms are defined as a biological endogenous process that repeats at an approximate 24-hour period. Increasingly these processes are recognized in their importance in understanding disease processes. In 2017, for example, the Nobel prize for physiology was given for discoveries of molecular mechanisms controlling these rhythms. This talk will focus on our recent work on the statistical modeling of longitudinally collected circadian rhythm data.
About the Speaker:
Dr. Paul Albert is senior investigator and chief of the Biostatistics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute since 2016. Prior to joining the Division, Dr. Albert was senior investigator and chief of Biostatistics and Bioinformatics Branch in the Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development. He joined National Institutes of Health (NIH) in 1998, first as a staff fellow in the National Institute of Neurological Disorders and Stroke in the Biometry and Field Studies Branch, later as a mathematical statistician in the National Heart Lung and Blood Institute, and National Cancer Institute. Dr. Albert received his Ph.D. in biostatistics from the Johns Hopkins University.
Dr. Albert's research interests primarily focus on complex modeling of correlated outcomes in biomedical sciences, including the analysis of longitudinal data, diagnostic testing, and data from biomarker studies. In addition, Dr. Albert's recent methodological research interests include the joint modeling of longitudinal and survival data, the analysis of high-dimensional chemical mixture models, and the analysis of circadian rhythms.