معرفی
Zhi Wei is a Distinguished Professor of Computer Science at the New Jersey Institute of Technology (NJIT). His research integrates computational methods with biological data to address challenges in cancer genomics, immune system modeling, and drug interaction prediction. He holds a Ph.D. in Bioinformatics from the University of Pennsylvania (2008), M.S. in Computer Science from Rutgers University (2004), and B.S. in Computer Science from Wuhan University (2000).
Key research interests include single-cell analysis, multi-omic data integration, machine learning applications in genomics, and viral oncogenesis mechanisms. His work has led to tools like GigaAssay for high-throughput mutagenesis assays and MONTAGE for detecting mosaic copy number variations. Current projects focus on tumor heterogeneity, immune checkpoint blockade therapies, and AI-driven game strategy optimization.
Publications emphasize computational methodologies (e.g., scDILT framework for single-cell data integration) and translational research in cancer immunotherapy response prediction. He has advised numerous interdisciplinary studies but no specific student names listed. Funding and grants focus on NIH-supported projects in genomic medicine and bioinformatics.
Laboratory work involves collaborations with medical institutions to translate computational findings into clinical applications, particularly in melanoma and glioma therapies. His lab develops open-source tools for processing spatial transcriptomics and virome analysis in oncology.
