Research Areas
Causal Inference
Focuses on applying Propensity Score Matching and regression techniques to evaluate treatment effects in observational studies, particularly in health data.
Public Health
Applies statistical methodologies to study mental health, substance use, and health equity, using both quantitative and qualitative data.
Statistical Programming
Development and deployment of statistical models using R, Python, and SAS, with a focus on machine learning, data mining, and simulation techniques.
Recent Publications
Examining stress regulation impacts from integrating mindfulness and self-compassion interventions into doctoral-level leadership courses
Journal of Research in Innovative Teaching & Learning • 2024