Liu

Dr. Liu is an Assistant Professor in the Department of Psychological Sciences within the School of Social Sciences, Humanities and Arts at the University of California Merced. She earned her doctoral degree in Quantitative Psychology from the University of Notre Dame in 2018 and holds additional degrees in Applied Mathematics.

Dr. Liu's research focuses on statistical modeling of psychological and behavioral data, with particular expertise in developing and applying modern statistical approaches for analyzing complex datasets. Her work addresses challenges in high-dimensional data, longitudinal/time series analysis, and categorical data. A significant portion of her recent research involves structural equation modeling of social networks, creating bridges between human behaviors and network structures. She also conducts methodological research on Bayesian inference in structural equation modeling and investigates issues related to dishonest responses in survey data, study design, and power analysis. At the core of her research is the application of advanced statistics to achieve a more proper understanding of human behaviors.

Dr. Liu's publication record demonstrates expertise in mathematical and statistical approaches, with recent work spanning from 2018 to 2024. Her research interests encompass statistical methodology development with applications to psychological and behavioral phenomena, particularly focusing on innovative approaches to handle messy real-world data.

Dr. Liu's work represents an important contribution to the methodological foundation of psychological research, providing researchers with advanced tools to analyze complex behavioral data and extract meaningful insights about human cognition and behavior.