معرفی
Dr. Wenyi Wang is a Professor in the Department of Bioinformatics and Computational Biology at The University of Texas MD Anderson Cancer Center. She leads the Statistical Bioinformatics Lab, focusing on advancing computational methods for cancer genomics, transcriptomics, and risk modeling. Her work integrates statistical rigor and AI to address challenges in understanding tumor heterogeneity, cancer evolution, and clinical translation. She holds adjunct professorships at Rice University and Texas A&M University.
Research Interests: Multi-omic deconvolution, tumor microenvironment dynamics, cancer risk prediction using Bayesian and machine learning models, and development of tools for mutation calling (e.g., MuSE, DeMixT). Her lab’s current directions include DNA–RNA dynamics in cancer and spatial transcriptomics to map tumor architectures.
Publications: Dr. Wang’s recent work includes high-impact studies on deconvolution methods (e.g., DeMixSC), TP53 mutation annotation, and clinical risk prediction models. Her lab’s tools like CliPP and DeMixNB advance precision medicine by enabling accurate analysis of tumor evolution and heterogeneity.
Awards: While personal awards are not explicitly listed, her research has garnered institutional recognition, including inclusion on MD Anderson’s Wall of Science for contributions to cancer discovery.
Grants and Collaborations: Collaborates with clinicians and experimental biologists to translate computational insights into clinical practice. Her lab trains students across interdisciplinary programs, emphasizing training in quantitative sciences and translational research.
Labs/Teams: The Statistical Bioinformatics Lab fosters a community dedicated to bridging bioinformatics and clinical oncology, with ongoing projects supported by grants and collaborations across institutions.
