معرفی
Chad A. Shaw is a Professor at Baylor College of Medicine and a Joint Professor of Statistics at Rice University. He serves as Director of the D2K Laboratory at Rice, and holds additional roles including Investigator at the Jan and Dan Duncan Neurological Research Institute and Faculty Member at the Baylor College of Medicine’s STaR Center and Quantitative & Computational Biosciences program. His expertise spans statistical genomics, bioinformatics, and molecular genetics.
Education: BS in Mathematics (Duke University, 1995); PhD in Statistics (Rice University, 2001).
Research Interests: Focuses on statistical methods for genomics, including next-generation sequencing analysis, structural variation studies, and clinical exome sequencing. Key contributions include probabilistic models for mutation transmission in human genetic diseases, copy-number variation analysis, and functionalization of genetic variants. His work bridges computational statistics with clinical applications, addressing challenges in rare disease diagnostics and Mendelian disorder modifiers.
Publications: Over 200 peer-reviewed articles, including foundational studies on recurrence risk in genetic disorders and mechanisms of structural variation. Recent work emphasizes Bayesian modeling in sequencing assays, CNV-driven genetic diseases, and prenatal genomic analysis.
Awards/Grants: No explicit awards mentioned, but his research has been cited ~17,000 times. Active in grant-funded projects across computational and clinical genomics.
Advising: Trained 5 PhD students and advised over 10 others, with students contributing to areas like high-dimensional regression and software tools for variant prioritization.
Labs/Teams: Leads the D2K Laboratory at Rice, fostering interdisciplinary research in data science and computational biology.
