Discovering physics extremes with computing
Mathematics and algorithms for identifying configurations of complex physical systems exhibiting unique, anomalous properties.
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.