Dr. Paul Bendich

Biography

Paul L Bendich is a mathematician focusing on adapting theory from ostensibly pure areas of mathematics, such as topology, geometry, and abstract algebra, to data-centered applications. He has a solid grounding in the recently-emerging field of topological data analysis (TDA), where he is responsible for developing essential elements of the theoretical toolkit. His work primarily revolves around creating TDA methodologies that can be applied across various domains. Paul has published several notable articles in journals such as the Journal of Applied Computational Topology and Frontiers in Computer Science, where he addresses the implications of data topology for deep generative models and coordinates multiple sensors in reinforcement learning tasks. He holds a Ph.D. from Duke University, where he continues to lead research efforts, often in collaboration with prominent funding organizations like the Air Force Office of Scientific Research and the National Science Foundation.

Research Interests

Experience