Xinge Jessie Jeng

Xinge Jessie Jeng is an Associate Professor of Statistics at North Carolina State University (NC State), Department of Statistics. She serves as Director of Masters Programs and holds a Ph.D. in Statistics from Purdue University (2009). Her research focuses on high-dimensional inference, machine learning, weak signal discovery, and statistical genomics, with applications in genetics and bioinformatics.

Her work develops methodologies for analyzing large-scale genomic data, including false negative control in high-dimensional settings, transfer learning for polygenic risk prediction, and eQTL mapping. She has contributed R packages such as AFNC and FastLORS for statistical analysis. Her GitHub repository demonstrates active software development in statistical genomics and machine learning.

Recent research emphasizes adaptive methods for weak signal detection under dependence, spatially adaptive variable screening in neuroimaging, and efficient SNP ranking in genetic studies. She collaborates across disciplines to bridge statistical theory with real-world genomic and biomedical applications.