Projects

Learning complex patterns in knowledge graphs.

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

Mathematics and algorithms for identifying configurations of complex physical systems exhibiting unique, anomalous properties.

An efficient toolkit for state-of-the-art models on multi lingual open domain question answering.

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.