Caihong is a data person. She obtained her bachelor's degree in Educational Technology, Master's in Educational Psychology, and PhD in Quantitative and Psychometrics Methods from University of Kentucky. She is a full-stack data scientist. Her expertise includes: survey development and evaluation (Validity, Reliability, Advanced Psychometrics), retrospective statistical analysis (t-test, ANOVA, Multivariate Analysis, Mixed Methods Modeling, Longitudinal Data Analysis, Path Analysis, Structure Equation Modeling, Latent Class Analysis, PCA, etc.), simulation (e.g., Monte-Carlo simulation), predictive analysis (Supervised and unsupervised machine learning), etc. Caihong has published 22 articles, being the methodologist and statistician, extensively collaborating with researchers from Medicine, Nursing, Public Health, Sociology, Psychology, Education, and Chemistry. Her work has been cited 780 times (till 3/27/24) by worldwide scholars. She loves data cleaning, modeling, and visualization, and how to draw insights from data. Prior to School of Dentistry, she worked as a Principle Data Analyst at University of Kentucky Healthcare, supporting Leadership, Clinical team, and Research team to develop and manage business intelligence solutions for the organization, identify the development needs for the purpose of streamlining and improving the operations of the organization for efficiency and profitability, and collect data and provide reports to support the executing of the organization's mission.