Sridevi Wagle
Sridevi Wagle is a Machine Learning Engineer at Pacific Northwest National Laboratory with a master’s degree in Computational Science. She has experience developing AI and machine learning tools for extracting and analyzing information from large-scale, multimodal scientific data. Her work includes building systems for knowledge retrieval and semantic search using advanced language models and data integration techniques. Sridevi’s research interests include explainable AI, uncertainty quantification, and visualization methods to support data-driven decision-making in scientific domains.
Session
05-08
12:55
25min
Leveraging AI to Support Evidence-Based Wildlife and Permit Management
Sridevi Wagle
Mercer Room