Mathematics and algorithms for identifying configurations of complex physical systems exhibiting unique, anomalous properties.
Projects
Revolutionizing datacenter infrastructure towards unprecedented flexibility and low environmental impact.
An automated explainable bioinformatics and AI workflow for multi-omic, climate and environmental data, applied to sustainability problems e.g., nature-based carbon capture.
AutoML for incremental machine learning algorithms for big time-series data.
Developing AI and analytics to understand the drivers of study or clinical trial efficiency.
We're developing technological solutions to assist subject matter experts with their scientific workflows by enabling the Human-AI co-creation process.
Performing pattern recognition and solving complex optimization problems with coupled oscillator networks.
An enterprise-scale initiative to measure, track, and reduce carbon emissions
Enhance scientific discovery with multimmodal knowledge