Vaibhava Lakshmi Ravideshik

AI and Growth Lead at GRAIL

Vaibhava Lakshmi Ravideshik is an AI Scientist specializing in knowledge graphs, entity alignment, and large-scale biomedical AI systems. Her work focuses on building intelligent systems that integrate structured knowledge with modern machine learning to accelerate scientific discovery, particularly in areas such as disease understanding, protein functions, and gene activities. She has extensive experience developing knowledge graph pipelines, ontology alignment frameworks, and graph-based retrieval systems for complex scientific and biomedical data. She has spoken at international conferences including the NODES Conference and the World AI Cannes Festival, where she has shared insights on knowledge graphs, AI infrastructure, and inclusive AI. Her work brings together graph representation learning, large language models, and entity resolution techniques to build scalable systems for real-world AI applications. Beyond her research, Vaibhava actively contributes to the global AI ecosystem through technical education, community initiatives, and collaborations focused on advancing responsible, accessible, and impactful artificial intelligence.