Projects

Multiple digital health-related applications for Alzheimer's disease using behavioral sensor data

An automated explainable bioinformatics and AI workflow for multi-omic, climate and environmental data, applied to sustainability problems e.g., nature-based carbon capture.

Developing AI and analytics to understand the drivers of study or clinical trial efficiency.

Analyzing and visualizing differences in blood flow patterns, made visible with fluorescent dyes and multispectral imaging.

An automated explainable bioinformatics and AI workflow for multi-omic, clinical and experimental data, applied to healthcare and drug discovery problems.

An automated explainable bioinformatics and deep learning workflow to elucidate microbiome-metabolite relationships during a host-pathogen interaction.

Creating cognitive insights from patient records at the point of care.

Combining foundation models with causal inference to accelerate early drug development