معرفی
Peng Jiang is an Assistant Professor at Cleveland State University, affiliated with the Center for Gene Regulation in Health and Disease (GRHD). His research focuses on developing statistical methods and data-driven approaches to analyze genomic and transcriptomic data, with applications in understanding gene regulation, cellular heterogeneity, and human diseases.
Dr. Jiang's research interests span statistical bioinformatics, machine learning applications in genomics, network modeling, and single-cell RNA sequencing analysis. His work integrates computational approaches to leverage large-scale omics datasets, aiming to maximize knowledge extraction from complex biological data. He has made significant contributions to the development of methods for quality control of single-cell RNA-seq data, temporal gene expression analysis, and understanding transcriptome dynamics in various biological contexts including embryonic development, neural progenitor cells, and disease models.
His publication record reveals a strong focus on methodological development in bioinformatics, particularly for single-cell RNA sequencing analysis. His work has addressed challenges in quality control, temporal analysis, and spatial patterning of gene expression. He has also applied these methods to study various biological systems including stem cell differentiation, neural development, and disease mechanisms across multiple species from axolotl to human models.
Dr. Jiang currently leads a research group that includes postdoctoral researchers, PhD students, and undergraduate honors students. His lab, the Jiang Lab, seeks "inspired, highly motivated, and curious graduate students" to join their research efforts in computational genomics and bioinformatics.
