Paul Bendich

Dr. Paul Bendich is an Assistant Research Professor of Mathematics at Duke University, where he also serves as the Associate Director for Curricular Engagement at the Information Initiative at Duke (iiD). His research primarily focuses on adapting theories from topology, geometry, and abstract algebra to develop tools applicable in various data-centered fields. With a strong foundation in topological data analysis (TDA), Dr. Bendich has contributed significantly to the methodology of TDA, particularly for stratified spaces, and has explored its applications in neuroscience, multi-target tracking, and deep learning. He teaches courses that connect mathematical principles to machine learning, including upper-level courses in topological data analysis and high-dimensional data analysis. Additionally, he directs programs like Data+ and Data Expeditions, which promote interdisciplinary undergraduate research and student engagement across the university.