Find papers, people, institutions, communities and opportunities from one place.
Scan by entity type, then open the next useful thread.
We combine publication metadata, author neighborhoods and dataset signals to improve retrieval quality for computational biology teams working across papers, code and experiments.
We curate paper, code and dataset benchmarks for biology-focused language models under provenance and reproducibility constraints.
We trace dataset reuse across scholarly graphs to improve auditability, discovery and replication planning.
Lab-based community around research infrastructure, graph-native discovery and evaluation systems.
InstitutionETH Zurich
High-signal discussion for scholarly graphs, entity resolution and research discovery systems.
Institution-linked group for retrieval pipelines, literature tooling and multimodal discovery infrastructure.
InstitutionMassachusetts Institute of Technology
Invite-only calibration circle for structured reviews, trust signals and moderation quality.
Industry-linked research partner focused on graph-native scholarly tooling, retrieval systems and human-in-the-loop discovery workflows.
Infrastructure partner for literature-scale indexing, provenance and research workflow operations.
Foundation partner backing calibrated review programs, trust research and reproducibility-centered evaluation layers.
Build literature-aware retrieval and provenance infrastructure for scientific datasets, code links and multimodal paper navigation.
Run calibration cohorts for structured reviews, moderation quality and trust measurement in networked science products.
Lead a graph-native discovery program spanning entity resolution, retrieval quality and trust-aware product instrumentation.
