Abin Shakya

AI Agents for Large-Scale Scientific Knowledge Systems

Scientific knowledge is often trapped in unstructured publications. This session presents agentic pipelines that ingest papers, extract entities and relationships, reconstruct tables, digitize figures, normalize units, and preserve provenance to build machine-readable, continuously evolving scientific databases for downstream modeling and discovery.