معرفی
Xijin Ge is a Professor in the Department of Mathematics and Statistics at South Dakota State University (SDSU). His research focuses on bioinformatics, artificial intelligence (AI), and data science, particularly in analyzing genomic datasets and developing tools like iDEP and ShinyGO. He holds a Ph.D. in Engineering from the University of Tokyo (2000), an M.S. in Condensed Matter Physics from Beijing University of Science and Technology (1997), and a B.S. in Applied Physics from the same institution (1994).
Dr. Ge teaches courses such as STAT 435/535 (Applied Bioinformatics), STAT 736 (Bioinformatics), and STAT 414/514 (Basic R Programming). His research emphasizes tools for genomic data interpretation, AI-driven data analysis, and large language models like ChatGPT for visualization. His work has led to significant grants, including a $12 million NIH grant (BioSNTR-II) for translational research and a $25 million NSF-funded project (BioSNTR).
His publications span bioinformatics, genomics, and computational methods, with notable contributions to RNA-Seq analysis, gene expression profiling, and software development. He leads the Ge Lab, advancing interdisciplinary research and education in data science and bioinformatics.
