معرفی
Yong Kong is a Senior Research Scientist in the Department of Biostatistics at the Yale School of Public Health, affiliated with the W.M. Keck Foundation Biotechnology Laboratory and the NIDA Neuroproteomics Center. His research bridges computational biology, infectious disease modeling, and genomic data science with applications to public health.
- PhD in Computational Biology (Washington University School of Medicine, 1997)
- BA in Biomedical Engineering/Computer Science (Tsinghua University)
- MS in Neurobiology (Shanghai Institute of Physiology, Chinese Academy of Sciences)
Research Interests:
- Host-pathogen interaction profiling using multidimensional data
- Microbiome dynamics in respiratory and gastrointestinal infections
- Statistical methods for genomic sequence analysis
- Computational modeling of inflammatory and immune response pathways
- Public health applications of combinatorics and run statistics
Recent Publication Trends: Focus on bat virus immune evasion mechanisms, multivariate run statistics, and microbiome-resistome interactions across veterinary and human health contexts. Collaborates extensively with immunologists (A. Iwasaki, M. Pettigrew) and infectious disease specialists.
Labs & Collaborations: Core member of the Keck Biotechnology Laboratory at Yale, contributing to bioinformatics infrastructure and interdisciplinary research initiatives.