Using AI to model disease progression and simulate interventions across diverse datasets.
Featured Projects
Our featured projects include research on developing AI-powered solutions for improving clinical decision support, disease detection and diagnosis, cognitive health modeling, sleep disorder management, and resilience across complex systems.

Alzheimer’s Disease and Cognitive Health

Colorectal Cancer Detection and Risk Stratification
Computer-aided detection tools and predictive models focused on African American populations.

SleepAI: Predictive Modeling for Diagnosis and CPAP Compliance
Harnessing AI and multi-source sleep data to improve early diagnosis of sleep disorders and enhance CPAP therapy adherence.

Sickle Cell Disease Decision Support
Developing an AI-powered system to optimize blood transfusion protocols and reduce risks such as iron overload.

AI-Driven Precision Care for HIV and Immune Health
Leveraging large-scale cohort data and interpretable multimodal AI to model heterogeneous ART responses, identify biological drivers, and advance scalable precision care for individuals living with HIV.

Resilience Modeling in CEP Systems
Research on disaster, cyber, and infrastructure resilience through advanced computational models.