About the Conference

This three-day conference brings together leading researchers from academia and industry, together with graduate students and post-doctoral scholars, to discuss the latest theoretical breakthroughs and applications of Topological Data Analysis (TDA).

A central goal is to train the next generation of TDA researchers by providing a venue to present work, receive feedback, and build collaborations. TDA is evolving rapidly across theory, algorithms, and real-world applications, and our program balances cutting-edge theory with demonstrations of impact in fields ranging from machine learning to biology and network science.

Keynote Speaker

• Facundo Mémoli, Rutgers University

Invited Speakers

• Saugata Basu, Purdue University
• Ryu Hayakawa, Kyoto University
• Vasileios Maroulas, University of Tennessee Knoxville
• Erik Amezquita Morataya, University of Missouri-Columbia
• Laxmi Parida, IBM
• Emilie Purvine, Pacific Northwest National Laboratory
• Yusu Wang, University of California San Diego

Organizers

Calin Chindris and Zhengchao Wan, University of Missouri-Columbia

Call for Contributed Talks and Posters

We welcome applications for contributed presentations and poster submissions. Junior researchers are especially encouraged to apply.

Application Deadline: September 20, 2025 Deadline passed

Use the application form below to be considered.

Apply for Contributed Talk or Poster

Acknowledgements