Meida Wang
Clinical Assistant Professor
Epidemiology and Biostatistics
Contact
Building & Room:
984 SPHPI
Address:
1603 W. Talor St.
Office Phone:
Email:
Office hours
| Sunday | ||
|---|---|---|
| Monday | ||
| Tuesday | 02:00pm – 03:00pm | |
| Wednesday | ||
| Thursday | 02:00pm – 03:00pm | |
| Friday | ||
| Saturday |
About
Dr. Meida Wang has a background in statistical genetics. Her research focuses on developing novel statistical methods and computational tools for analyzing high-dimensional data, with applications in Genome-Wide Association Studies (GWAS), Epigenome-Wide Association Studies (EWAS), multi-phenotype analysis, and health data science. She is particularly interested in investigating genetic, environmental, and social determinants of health, with applications in cancer, aging, and population health.
Selected Grants
IHDSR, Understanding the Role of the Oral Microbiome in Immunosenescence in Humans, Co-I
RHP Risk Management, ComEd Hyperlocal Air Quality Assessment, Co-I
Selected Publications
Wang M, Zhang S, Sha Q. A computationally efficient clustering linear combination approach to jointly analyze multiple phenotypes for GWAS. PloS one. 2022 Apr 28;17(4):e0260911.
Wang M, Cao X, Zhang S, Sha Q. A Clustering Linear Combination Method for Multiple Phenotype Association Studies based on GWAS Summary Statistics. Scientific report. 2023 Feb;13:3389.