
About
Xiyu Peng is an Assistant Professor of Biostatistics and Bioinformatics at Texas A&M University's Department of Statistics (College of Arts & Sciences). Her research focuses on integrating computational and statistical methods with biomedical data, particularly in genomics, proteomics, and immuno-oncology. She develops novel algorithms to analyze single-cell omics and spatial transcriptomics data, with applications in cancer immunotherapy and multiplexed imaging.
Dr. Peng holds a Ph.D. in Bioinformatics and Statistics from Iowa State University and completed postdoctoral training at Memorial Sloan Kettering Cancer Center. Her methodology emphasizes model-based clustering and latent variable models to address challenges in large-scale biomedical data analysis. Her current projects include resolving temporal and spatial dynamics in single-cell data and developing scalable computational tools like the SpaTopic R package for spatial tissue architecture analysis.
Her work spans collaborations in oncology, immunology, and microbiome research, with contributions to biomarker discovery, immune monitoring via flow cytometry, and denoising of amplicon sequencing data. She leads efforts to bridge statistical innovation with clinical and translational science.
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