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.

Brain graphic with four screens with digital graphs in the background

Alzheimer’s Disease and Cognitive Health

Using AI to model disease progression and simulate interventions across diverse datasets.

Illustration of a body scan with scientists working in the background

Colorectal Cancer Detection and Risk Stratification

Computer-aided detection tools and predictive models focused on African American populations.

Graphic of a brain with two digital panels on either side showing brain anatomy and data

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.

Illustration of a brain and a blood cell against the backdrop of a laboratory

Sickle Cell Disease Decision Support

Developing an AI-powered system to optimize blood transfusion protocols and reduce risks such as iron overload.

HIV_project

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.

Graphic of a brain with scientists working in the background

Resilience Modeling in CEP Systems

Research on disaster, cyber, and infrastructure resilience through advanced computational models.