Jingxue Xin

Jingxue Xin is a Research Scientist in the Department of Statistics at Stanford University, affiliated with the School of Humanities and Sciences. Their work focuses on integrating computational methods with biological data to study gene regulation, epigenetics, and systems biology. Key research areas include developing tools for analyzing single-cell multimodal data, regulatory network inference, and understanding genetic adaptations in populations.

Research interests emphasize the application of statistical and machine learning approaches to decode complex biological systems, particularly in contexts like high-altitude hypoxia adaptation and lipid metabolism. They have contributed to methodologies such as scTIE and scREG for analyzing temporal and multi-omic datasets. Their work bridges computational innovation with experimental biology, aiming to uncover mechanisms underlying cellular processes and genetic variations.

No specific grants or awards are listed in the provided information. Advising activities or lab affiliations are not detailed in the text.