Mathematics and algorithms for identifying configurations of complex physical systems exhibiting unique, anomalous properties.
An automated explainable bioinformatics and AI workflow for multi-omic, climate and environmental data, applied to sustainability problems e.g., nature-based carbon capture.
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.