Carolina Urzay
Papers
1
Total Citations
4
H-Index
1
About
Carolina Urzay is a rising leader in computational ethology and self-supervised machine learning, whose work is redefining how we analyze natural, unconstrained animal behavior. Her most-cited paper, “Relax, it doesn’t matter how you get there: A new self-supervised approach for multi-timescale behavior analysis” (2023, 4 citations), introduces a paradigm-shifting framework that moves beyond traditional task-based models. By leveraging self-supervised learning, Urzay’s approach captures the complex, unpredictable dynamics of natural behavior across multiple timescales—without requiring rigid behavioral definitions or human-labeled data. This innovation addresses a critical bottleneck in neuroscience and ecology, enabling researchers to decode subtle, long-range behavioral patterns that were previously invisible. Although early in her career, her work has already garnered attention for its potential to transform how we study everything from animal cognition to neurological disorders. Urzay’s contributions exemplify a bold, interdisciplinary vision, merging cutting-edge AI with deep biological insight to unlock the hidden structure of behavior in its most authentic form.
Research Focus
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Top Papers
- 1