I received my Ph.D. in Statistics from the Department of Statsitics at Western Michigan University (WMU), where I also completed a certificate in Biostatistics in 2023.
My research interests include high-dimensional data analysis, statistical machine learning, data mining, variable selection, classification, and clustering. His applied work primarily addresses biostatistical problems in health and medical research.
Currently focusing on:
Statistical learning methods for improving reliability and interpretability of clinical classification systems, with applications to pediatric obesity and cardiometabolic risk. That includes:
Childhood and Adolescent body composition
Evaluation and improvement of anthropometric screening tools
Early identification of cardiometabolic risk in youth
Obesity-related health disparities