Regular biography
Tananun Songdechakraiwut is an Assistant Research Professor of Computer Science at Duke University. She is a faculty affiliate of the Duke Institute for Brain Sciences and the Duke–UNC Alzheimer’s Disease Research Center. Her research focuses on developing topological methods to understand network behavior in the human brain and utilizing brain-inspired topological tools to enhance neural network-based AI methodologies. She teaches courses in Artificial Intelligence, Data Science, and Computational Connectomics, and mentors data-driven projects. Her website is https://www.topo-learn.com/tsong, and her email is t.song@duke.edu.
Scholar-generated biography
Tananun Songdechakraiwut is a researcher at Duke University with expertise in Artificial Intelligence, Topology, and Connectomics. Their work focuses on applying topological methods to analyze brain networks and functional connectivity, with applications in neuroscience and machine learning. They have explored topological learning for brain networks, dynamic topological data analysis, and the use of Wasserstein distance in topological classification. Additionally, they have investigated the integration of multimodal brain networks and the role of topology in Alzheimer's disease. Their research also includes the development of data-efficient neural training methods and the use of LLMs for early Alzheimer's prediction.