Yuying Xie

Yuying Xie is an Associate Professor holding dual appointments in the Department of Computational Mathematics, Science and Engineering and the Department of Statistics & Probability at Michigan State University. Her research bridges statistical theory, machine learning innovation, and biological discovery, with a focus on developing computational frameworks for high-dimensional biological data analysis.

Education:

• B.S. in Biology, Fudan University, China (2005)
• Ph.D. in Genetics and Molecular Biology, University of North Carolina at Chapel Hill (2010)
• Ph.D. in Statistics, University of North Carolina at Chapel Hill (2015)

Research Interests: Dr. Xie pioneers methodologies in single-cell data analyses, spatial transcriptomics, and statistical machine learning for biological applications. Her work addresses critical challenges in high-dimensional data analysis through graphical models and QTL/eQTL mapping, with emphasis on biological interpretability and computational efficiency. Current projects integrate deep learning with immunology and cancer biology to decode complex disease mechanisms.

Recent Publications: Her 2023-2025 output reveals a strategic focus on transparent single-cell analysis tools (DANCE 2.0), tumor microenvironment modeling (MARVEL, SpatialCTD), and immune-microbiome interactions in disease. Key themes include graph neural networks for spatial data, generative models for biological imaging, and mechanistic studies of immune responses in Crohn's disease, food allergy, and cancer immunology, demonstrating consistent innovation at the statistics-biology interface.

Academic Service: Dr. Xie contributes to computational biology through software development (DANCE framework) and large-scale dataset curation (SpatialCTD), enabling reproducible research in immuno-oncology and single-cell genomics.