Research Overview

My research program sits at the intersection of advanced statistical methodology, artificial intelligence, and applied public health. I develop and apply spatial and spatio-temporal models, machine learning frameworks, and Bayesian inference tools to real-world health challenges — particularly in underserved, data-sparse, and geographically isolated settings such as the U.S. Virgin Islands and sub-Saharan Africa.

Active Research Projects

1. AI-Driven Spatio-Temporal Modeling for Non-Communicable Diseases — USVI

This flagship project develops AI and machine learning models to predict the spatial distribution and temporal dynamics of non-communicable diseases (NCDs) across the U.S. Virgin Islands. Integrating environmental, demographic, and health data, the project aims to generate actionable insights for USVI public health planners and policymakers.

2. Transforming AI and Data Science Education at UVI

A collaborative NSF-targeted initiative to redesign undergraduate AI and data science curriculum at UVI. The project builds a scalable institutional model for AI-ready workforce development, specifically addressing the needs of minority-serving and geographically isolated institutions.

3. Predictive Modeling of Climate-Health Vulnerability in the USVI

Uses machine learning and geospatial modeling to explore the relationship between climate indicators and health vulnerability in USVI communities, supporting climate adaptation and resilience planning.

4. Health Equity Data Dashboard — Healthy Virgin Islands 2030

Building a publicly accessible health equity data dashboard to advance the Healthy Virgin Islands 2030 Community Health Improvement Plan. The dashboard will integrate multidimensional health, social, and environmental indicators.