Author

Thomas Welch Gillespie

University of California, Los AngelesORCID 0000-0002-7066-0691Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 2 Approach:deep learning· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Bo ZhouiD· 1 shared Camille C. PawlakiD· 1 shared Geoffrey A. FrickeriD· 1 shared Gregory Stewart OkiniD· 1 shared Griffen Guizan· 1 shared Howard Bradley ShafferiD· 1 shared Jenn YostiD· 1 shared Jonathan VenturaiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 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

1 shared paperEcology

Bo ZhouORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Mapping California's Urban Forest at Scale: An Error-Adjusted Canopy Time Series for Monitoring Change

Camille C. Pawlak, Jenn Yost, Jonathan Ventura, Griffen Guizan, Sara Arnold, Gregory Stewart Okin, Kyle C. Cavanuagh, Geoffrey A. Fricker, Matt K. Ritter, Thomas Welch Gillespie

The paper produces a four-year canopy cover time series for California using NAIP imagery and a U-Net model, showing no statistically significant trend in canopy change.

bioRxiv · May 7, 2026 · PreprintEcology

Species distribution modeling for conservation science: new predictor layers, reproducible code, and an evaluation of California protected areas

Zachary G. MacDonald, Joscha Beninde, Kentaro Matsunaga, Bo Zhou, Thomas Welch Gillespie, Howard Bradley Shaffer

This study evaluates species distribution models using new predictor datasets and finds ClimateNA outperforms WorldClim for most species, with Random Forests and random background points providing best results.

bioRxiv · Jan 23, 2025 · PreprintEcology