Wei Sun

Dr. Wei Sun is a Professor in the Biostatistics Program within the Public Health Sciences Division at Fred Hutchinson Cancer Center, with additional appointments as Member of the Immunotherapy Integrated Research Center (IIRC) and Translational Data Science Integrated Research Center (TDS IRC). He holds affiliated professor positions in Biostatistics at both the University of North Carolina at Chapel Hill and the University of Washington.

His educational background includes:

• PhD in Statistics from University of California at Los Angeles (2007)
• MS in Statistics from University of California at Los Angeles (2004)
• BS in Statistics from Peking University, Beijing (2002)

Dr. Sun specializes in developing statistical and computational methods for multi-omics data integration, with emphasis on cancer genomics, proteomics, and immunomics. His work pioneers deep learning applications for T cell receptor analysis, HLA typing, neoantigen prediction, and tumor microenvironment characterization using single-cell and spatial transcriptomic technologies. Current research bridges biostatistics with AI-driven cancer diagnostics.

His recent publications (2021-2023) demonstrate leadership in cell-type-specific computational frameworks for RNA-seq and spatial omics, with significant contributions to neural network models for immunogenomics and foundational methods for eQTL mapping. Work consistently targets translational applications in tumor heterogeneity and liquid biopsy development.

Major recognitions include:

• Elected Fellow of the American Statistical Association (2017)
• Junior Faculty Development Award from UNC-Chapel Hill (2010)

As Principal Investigator, Dr. Sun leads multiple NIH-funded projects including deep learning for single-cell transcriptomics, statistical methods for gene-phenotype associations using MorPhiC resources, and liquid biopsy consortium coordination for cancer early detection. His grants emphasize cross-institutional collaboration with UW and UNC.

He directs the Sun Lab at Fred Hutch—a MorPhiC-affiliated research group focused on creating open-source computational tools for tumor immunology and precision oncology, with active partnerships across the Immunotherapy and Translational Data Science Integrated Research Centers.