Data Science, Informatics, Prebiotic Chemistry, Semantic Web

Shweta Narkar is a multidisciplinary scientist whose research integrates machine learning, data science, and ontology engineering to structure complex scientific knowledge and improve intelligent systems. With a PhD grounded in computational methods and domain-driven inquiry, she focuses on translating unstructured data into interpretable, structured frameworks that support robust analysis and decision-making. Her work often involves engaging with complex scientific problems and clarifying them through structured representations that can be understood and applied across disciplines. She joined the RARE Center to extend this approach into applied research, contributing data-driven tools and knowledge frameworks that support research synthesis and cross-disciplinary collaboration.