Author

Sara Beery

Massachusetts Institute of TechnologyORCID 0000-0002-2544-1844Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Sara Beery1 paper · Massachusetts Institute of Technology, Cambridge, MA, USA;

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:imaging· 2 Organism:multiple species· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1

Frequent Co-Authors

Timm HauckeiD· 2 shared Alexander AlgasoviD· 1 shared Ankit Kumar UpadhyayiD· 1 shared Charles V. StewartiD· 1 shared Daniel I. RubensteiniD· 1 shared David RolnickiD· 1 shared Ekaterina NepovinnykhiD· 1 shared Fedor ZolotareviD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersEcology

Timm HauckeORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

β-Stability: Efficient, human-in-the-loop, graph-based curation of individual animal identities from images

Ekaterina Nepovinnykh, Timm Haucke, Fedor Zolotarev, Alexander Algasov, Ankit Kumar Upadhyay, Daniel I. Rubenstein, Tanya Y. Berger-Wolf, Tuomas Eerola, Heikki A. Kalviainen, Pavel Zemčík, Sara Beery, Charles V. Stewart

The paper introduces β-Stability, a graph-based framework for semi-automated curation of animal identities from images, achieving high accuracy with limited expert review.

bioRxiv · Oct 20, 2026 · PreprintEcology

Scrub Data: A Framework for Reproducible Data Curation with AI Coding Agents

Justin Kay, Shir Bar, Sara Beery

Scrub Data routes AI-agent data edits through an API-enforced provenance graph of executable Python steps; it curated 89M wildlife GPS points into the 2.6M-point MoveBench benchmark.

bioRxiv · Sep 23, 2026 · PreprintEcology✦ In-depth digest

Seeing Above and Below the Canopy: Modeling and Interpreting Species Occupancy with Multimodal Habitat Representations

Timm Haucke, Lauren Harrell, Yunyi Shen, Levente J. Klein, David Rolnick, Lauren Gillespie, Sara Beery

This paper improves species-habitat modeling by integrating AI-derived multimodal habitat data and interpretable AI features for better conservation planning.

bioRxiv · Sep 6, 2025 · PreprintEcology