Building foundation models that encode scientific structure — multimodal, trustworthy, and usable across discovery workflows.
Agentic systems that propose, test, and refine scientific hypotheses with experts in the loop.
Using AI to understand, audit, and stabilize AI — interpretability, agent behavior, and safety under self-modification.