Linying Ji

Linying Ji is an Assistant Professor at Montana State University, specializing in interdisciplinary research that combines machine learning with physiological and behavioral health studies. Her work primarily focuses on sleep health, cognitive performance, and inflammatory biomarkers in aging populations.

Research Interests: Ji develops advanced methodologies for analyzing longitudinal and intensive longitudinal data, particularly in sleep research. She employs machine learning techniques to model affective experiences, studies sleep variability, and investigates how social factors moderate health outcomes in older adults.

Key Publications Trends: Her recent work emphasizes actigraphy data analysis, missing data handling in multilevel studies, and the intersection of sleep patterns with neurodegenerative biomarkers. She frequently contributes to methodological innovations in dynamic modeling and statistical frameworks.