Student Research Assistant
CurrentAs a Student Research Assistant at the Conrad Blucher Institute under Dr. Lucy Huang's mentorship at Texas A&M University-Corpus Christi, I focus on understanding COVID-19 vaccine hesitancy among diverse socio-demographic and racial groups in Nueces County. This research is crucial for identifying key factors influencing vaccine hesitancy and informing public health policies.My work involves in-depth data exploration and preprocessing. I use Principal Component Analysis (PCA) and Ordinary Least Squares (OLS) techniques to reduce dimensionality and uncover the data's underlying structure. These methods set the stage for accurate predictive modeling.I apply advanced machine learning and deep learning models to perform predictive analysis, including linear regression, logistic regression, kernel localized linear regression, XGBoost, and Graph Neural Networks. I rigorously evaluate and compare models based on precision values to ensure actionable insights.Data visualization is a key aspect of my role, where I use Matplotlib and Seaborn to create clear visualizations, such as histograms, bar graphs, and line graphs. These help illustrate data distributions, examine correlations, and present model outcomes effectively.To enhance model interpretability and precision, I employ SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations) techniques. These tools provide critical insights that can shape public health policies addressing vaccine hesitancy in Nueces County.
