LabCompass

David Carlyn

Biochemistry, Genetics and Molecular Biology · The Ohio State University

Early career · publishing since 2018Rising activity

Publications

24

Citations

219

Est. group size

~2

Recurring co-author estimate

Active years

9

Publishing since 2018

Research summary
AI-generated

David Carlyn works at the intersection of machine learning and biological image analysis, applying computer vision techniques like neural networks and generative models to study organisms and biological data. Recent work includes building large image datasets (such as a tree-of-life dataset with millions of images) and organizing anomaly-detection challenges for biological imagery, alongside earlier work on cell and tissue image analysis.

Biological image analysis with AINeural networks and generative models for imagesLarge-scale biodiversity image datasetsAnomaly detection challenges in imagingCell and tissue image segmentation

Publication output was sparse and irregular before 2023 but has grown substantially since, with a notable increase in dataset and challenge-related outputs from 2023 through 2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 4.0/year recently
172018: 1 publication18192020: 1 publication202021: 2 publications21222023: 6 publications232024: 3 publications242025: 8 publications8252026: 3 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×10
  • Hugging Face×2
  • Open MIND×2
  • Zenodo (CERN European Organization for Nuclear Research)×2
  • Gastrointestinal Endoscopy×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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