معرفی
William H. Majoros, Ph.D., serves as an Assistant Professor of Biostatistics and Bioinformatics at Duke University with key affiliations in the Division of Integrative Genomics, Duke Center for Statistical Genetics and Genomics, and Center for Combinatorial Gene Regulation.
His educational background includes:
- Ph.D., Duke University (2017)
Dr. Majoros specializes in developing computational frameworks for genomic regulation analysis, with core expertise in statistical genetics, non-coding DNA function, and high-throughput functional genomics. His research integrates Bayesian statistics with experimental genomics to decode gene regulatory mechanisms, particularly focusing on combinatorial effects of non-coding variants in disease contexts.
Analysis of his 2018-2025 publications reveals consistent methodological innovation in allele-specific expression modeling, CRISPR screen analysis, and non-coding variant interpretation, with strong translational applications in rare genetic diseases and complex disorders.
His research program is supported by major NIH funding including:
- Computational Methods for Investigating the Genetics of Gene Regulation (NIGMS, 2023-2028)
- Design and prioritization of systematic genome perturbations (NHGRI, 2021-2026)
- High-Throughput Functional Annotation of Regulatory Elements (NHGRI, 2021-2026)
- Beyond GWAS: Functional Genomics for Schizophrenia (NIMH, 2021-2026)
- Duke FUNCTION Center for combinatorial noncoding disease causes (NHGRI, 2020-2025)
He actively mentors through COMPSCI/BIOSTAT research independent studies and teaches graduate courses including Graphical Models for Biological Data and Computational Sequence Biology, advancing training in statistical genomics methodologies.
