Post-Doctoral Fellow – Data Annotation/Entity Classification
DoccanoTextEntity Ner Classification
Investigation of AI/NLP-derived mis-annotations in genetic databases required detailed review and verification of annotated genetic data. Labeled and classified mis-annotated text entities to assess their impact on genetic analysis. Coordinated efforts to ensure accurate correction of entity and relationship extraction within biomedical datasets.
• Evaluated inaccuracies in AI-generated annotations within genetic records.
• Classified and corrected mis-annotated gene/disease relationships in datasets.
• Interacted with genetic ontology standards for consistent labeling.
• Ensured annotation accuracy for downstream analyses and publications.
Investigation of AI/NLP-derived mis-annotations in genetic databases required detailed review and verification of annotated genetic data. Labeled and classified mis-annotated text entities to assess their impact on genetic analysis. Coordinated efforts to ensure accurate correction of entity and relationship extraction within biomedical datasets. • Evaluated inaccuracies in AI-generated annotations within genetic records. • Classified and corrected mis-annotated gene/disease relationships in datasets. • Interacted with genetic ontology standards for consistent labeling. • Ensured annotation accuracy for downstream analyses and publications.
2025 - 2026