Research
Questions first. Models second.
We develop end-to-end methods that turn complex biomedical data into interpretable evidence, from knowledge graphs and data quality to reinforcement learning and discovery.
Data representation
Knowledge graphs, ontologies, and relational databases.
Advanced modeling
Structural learning, statistical modeling, and AI-assisted discovery.
Scientific practice
Open science, reproducibility, explainability, and co-design.
