Tao Wang

Tao Wang, PhD, serves as an Associate Professor in the Department of Biostatistics at the Medical College of Wisconsin, specializing in statistical genetics and transplantation outcomes research. He holds leadership roles as Statistical Director for both the Immunobiology Working Committee (IBWC) and Graft-versus-host Disease (GVHD) Working Committee at the Center for International Blood and Marrow Transplant Research (CIBMTR).

His educational background includes:

• PhD in Statistics, North Carolina State University (2001)
• PhD in Mathematics, Southeast University, Nanjing (1993)
• MS in Mathematics, Southeast University, Nanjing (1990)
• BS in Mathematics, Peking University, Beijing (1983)

Dr. Wang's research centers on statistical genetics methodology, including quantitative trait loci (QTL) modeling, haplotype analysis of SNPs, and mixed models for genetic association studies. His collaborative work spans transplantation biostatistics, focusing on survival analysis for bone marrow transplantation, genomic data analysis (methylation, proteomics), and medical data interpretation for conditions like diabetes and hypertension. He integrates advanced statistical techniques with clinical research to address complex questions in hematopoietic cell transplantation.

Analysis of his 2024-2025 publications reveals dominant themes in donor selection factors (age, HLA matching), graft-versus-host disease mechanisms, and health disparities related to race, ethnicity, and socioeconomic status. His work increasingly incorporates machine learning approaches for predictive modeling while maintaining rigorous biostatistical foundations in genetic epidemiology and transplantation outcomes.

No scientific awards were documented in the source material.

Dr. Wang's advisory activities and grant funding details are not specified in available records, though his extensive CIBMTR committee leadership indicates significant collaborative engagement. His research directly impacts donor selection protocols and outcome prediction models in hematopoietic cell transplantation through the CIBMTR network.

He operates within the Center for International Blood and Marrow Transplant Research infrastructure, contributing statistical expertise to multi-institutional teams focused on improving transplantation outcomes through genetic and epidemiological analyses.