معرفی
Dr. Chien-Wei Lin is an Associate Professor in the Department of Biostatistics at the Medical College of Wisconsin. His research focuses on developing statistical methodologies for omics data analysis, including single nucleotide polymorphism (SNP), copy number variation (CNV), DNA methylation, gene expression, proteomics, and metabolomics. He specializes in statistical genetics, bioinformatics, power calculations, integrative analysis, and machine learning applications in biomedical research.
Key collaborations include the Department of Pediatrics and Department of Biomedical Engineering. His work addresses challenges in multi-omics data integration, study design frameworks (e.g., FastQDesign for scRNA-seq), and imputation methods for dropout events in single-cell data. Recent publications highlight contributions to chromatin state mapping, meta-analytic gene clustering, and translational studies in diabetes and cardiovascular biology.
No explicit scientific awards are listed, though his prolific publication record reflects sustained research impact. He advises collaborative projects with clinical and engineering teams but no listed students. His lab’s work bridges computational statistics and translational biomedical applications, addressing pressing questions in precision medicine and systems biology.
