معرفی
Leying Guan is an Assistant Professor of Biostatistics at Yale School of Public Health, focusing on statistical and machine learning methods for scientific applications in genetics, immunology, and computational neuroscience. She holds a Ph.D. in Statistics from Stanford University (2019) and a bachelor's degree in physics from Tsinghua University.
- Research Interests: High-dimensional statistics, robust statistical learning, outlier detection, and multi-omic data integration.
- Key Collaborations: IMPACC Network, Yale Combined Program in the Biological and Biomedical Sciences (BBS), and cross-departmental projects at Yale.
- Scientific Awards: Recognized with Faculty Research Awards (2025) at Yale School of Public Health.
- Publications: Develops methods for scRNA-integration, genetic risk prediction, and immune profiling, with impactful studies on COVID-19 severity and Long COVID.
Her work bridges statistical theory with real-world applications, particularly in understanding immune responses and disease mechanisms through data science.
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