International Day Of Women in Statistics and Data Science: Full Schedule

Registration opens August 15th at www.idwsds.org.

You will be able to validate your attendance (Check-In to sessions) using your personal schedule.

12:00 UTC

S403 - Change point detection and its applications

Tuesday October 6, 2026 12:00 - 13:00 UTC

Change point detection has long been an active and important area of statistical research because structural changes frequently arise in data collected over time or across different conditions. Detecting these changes helps researchers better understand complex processes and make more informed decisions in fields such as public health, finance, genomics, environmental science, manufacturing, and engineering, where the ability to detect shifts in trends, variability, or dependence structures can provide valuable insights into complex systems. As the volume and complexity of modern data continue to grow, the development of robust and efficient change point techniques remains a significant research challenge and opportunity. This invited session brings together researchers from three countries to present new methods and real-world applications of change point analysis. The session will highlight recent advances in the field, encourage international collaboration, and showcase the broad impact of change point research across diverse disciplines.

Speakers

Rebecca Killick

Clemenson University

Rebecca Killick is Associate Director of Research in Mathematical and Statistical Sciences at Clemson University. Dr. Killick received a PhD in Statistics from Lancaster University, where until 2026, held a Professor and Director of Research positions. In 2019 Dr. Killick was the... Read More →

Kun Liu

JPMorgan Chase & Company

Kun Liu is a Vice President and Quant Modeling Lead at JPMorgan Chase with expertise in AI, machine learning, credit risk, fraud detection, and causal inference. He holds a Ph.D. in Statistics from Georgia Tech and has over eight years of experience developing and deploying advanced... Read More →

Meenu Rani

Indian Institute of Technology Ropar

Meenu Rani is a Ph.D. student in the Department of Mathematics at the Indian Institute of Technology Ropar. Her doctoral research focuses on change point detection, including both offline and online settings. Her work has primarily involved applications to financial data.

Ayten Yiğiter

Hacettepe University

Dr. Yiğiter received the B.S., M.S., and Ph.D. degrees in statistics from Hacettepe University, Ankara, Türkiye, in 1995, 2000 and 2006, respectively. In 2007, she was a Visiting Scholar with the University of Missouri-Kansas City, Kansas City, MO, USA. She is currently working... Read More →

Chairs/Hosts

Jie Chen

Organizers

Jie Chen

S403 Abstracts pdf

Tuesday October 6, 2026 12:00 - 13:00 UTC
Zoom Room #4

Invited Session, Technical Statistical Session

Country United States
Session ID 403

International Day Of Women in Statistics and Data Science

12:00 UTC

Rebecca Killick

Kun Liu

Meenu Rani

Ayten Yiğiter

Jie Chen

Jie Chen

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