About
Qiwei Li is an Assistant Professor of Statistics in the Department of Mathematical Sciences at The University of Texas at Dallas. He holds a Ph.D. in Statistics from Rice University (2016), an M.A. in Statistics from Rice University (2015), an M.Phil. in Information Engineering from The Chinese University of Hong Kong (2010), a B.Sc. in Economics from Peking University (2009), and a B.Eng. in Electronic Engineering from Tsinghua University (2008).
His research focuses on developing AI-powered Bayesian statistical methodologies and machine learning approaches to analyze high-dimensional, spatial, and shape data. Key areas include Bayesian clustering, spatial transcriptomics, microbiome community detection, and integrative omics analysis. He is actively involved in advancing methodologies for spatial molecular profiling and disease-relevant gene discovery.
Recent publications highlight contributions to spatial transcriptomics integration, microbiome analysis, and health outcome studies. His work bridges statistical theory with biomedical applications, addressing challenges in genomics, imaging, and clinical data interpretation.
Dr. Li is seeking highly motivated Ph.D. and undergraduate students to join his research group, offering financial support. He emphasizes interdisciplinary collaboration and innovation in statistical methodologies for solving complex biomedical problems.
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