Research & Projects

My research interests include biostatistics, Bayesian inference, and other influential areas within statistical science.

Publications:

1. Dey, A., Chang, H., Shaaban, L., Suga, A., Braden, G., Bustamante, A., Park, J., Zhang, S., Hu, Y., & Hernandez, M. E. (2025). “Effect of Tai Chi Practice on the Adaptation to Sensory and Motor Perturbations While Standing in Older Adults.” Applied Sciences, 15(13), 7458. [link]

Project 1

Player and Team-Level Effects in MLB Batting via Bayesian Hierarchical Modeling Champaign, IL

STAT 431: Applied Bayesian Analysis                 Jan 2025 – May 2025

Utilization of Bayesian hierarchical modeling to estimate true player batting performance during the 2023 MLB postseason, accounting for game- and team-level effects.

Project 2

Learning to Vote: Statistical Models for Predicting U.S. County Election Outcomes       Champaign, IL

STAT 432: Basics of Statistical Learning                 Jan 2025 – May 2025

Development of statistical models to predict county-level voting outcomes in the United States in presidential primaries using demographic and socioeconomic data.                                                                                                                                                 

Project 3

Leveraging Protein Abundance Data to Predict Cancer Types Champaign, IL

Illinois Data Science Club              Jan 2024 – May 2024

Analysis of cancer data to predict cancer types based on specific characteristics. Linked Presentation