Multimodal Lab Automation

Automated data curation and deployed multimodal deep learning models for large-scale animal behavior experiments at Tulane University.

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Contributions

• Automated and scaled data curation for lab experiments, increasing throughput by up to 30×.
• Developed deep learning models for multimodal (vision + audio) analysis of animal behavior from camera trap videos.
• Built publication-ready pipelines integrating feedback from cross-disciplinary research teams.
• Designed system architectures for future research cohorts to streamline workflows.