Topological data analysis (TDA) has recently emerged as an active new field of research, which has generated great interest across mathematics, statistics, computer science, machine learning, and electrical engineering communities. TDA is being applied to image analysis, neuroscience, networks analysis, morphology, genetics, cancer research and other problems. The interdisciplinary nature of TDA naturally leads to the literature and the active researchers being scattered across different fields. This lack of a cohesive disciplinary home makes it difficult for junior researchers and in particular graduate students from statistics to obtain exposure to the field. This workshop will strive to fill this gap by focusing on tutorial and overview talks on topological data analysis and providing hands-on data analysis sessions.

The conference will feature Professor Sayan Mukherjee from Duke University as the principal lecturer, and five additional featured speakers including Professors Rabi Bhattacharya, Susan Holmes, Ann Lee, Lek-Heng Lim and Yusu Wang. This conference will introduce graduate students and junior researchers to TDA, an active new field, which lies at the exciting intersection of topology, geometry, and statistics and serve as an opportunity to foster research collaborations.