معرفی
Mei-Cheng Wang, PhD is a Professor in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health, with additional affiliations at the Johns Hopkins Center for Injury Research and Policy.
Her educational background includes:
- PhD in Statistics from University of California at Berkeley (1985)
Dr. Wang specializes in Survival, Longitudinal And Multivariate statistics (SLAM), with particular expertise in point processes, recurrent marker processes, and semiparametric models. Her research has significant applications in medical studies, particularly in the areas of biomarker diagnostic testing, risk prediction, and the birth-illness-death process in relation to risk factors. Recently, her work has increasingly focused on Alzheimer's disease research, developing statistical methods to analyze biomarker trajectories and disease progression.
Analysis of her recent publications (2023-2024) reveals a strong emphasis on Alzheimer's disease research, particularly in developing statistical methods for analyzing biomarker trajectories during the preclinical phase. Her work combines advanced biostatistical techniques with neuroimaging and cerebrospinal fluid biomarker data to understand disease progression before clinical symptoms appear. This research sits at the intersection of biostatistics, neuroscience, and machine learning, with applications in early detection and intervention strategies for neurodegenerative diseases.
Dr. Wang has received significant recognition for her contributions to statistics:
- Fellow of the American Statistical Association (ASA)
- Elected member of the International Statistical Institute (ISI)
- Fellow of Institute of Mathematical Statistics (IMS)
Throughout her career, Dr. Wang has advised numerous graduate students and secured research funding for her work in biostatistical methodology development. Her research group, the SLAM (Survival, Longitudinal And Multivariate statistics) group, focuses on developing innovative statistical methods with applications in medical and public health research. Current projects include the BIOCARD Study, a prospective birth cohort study examining pre- and peri-natal determinants of autism spectrum disorders and developmental disabilities, as well as research on Alzheimer's disease biomarkers and progression.
