Keynote

Opening Keynote Address

Wednesday, February 28, 2024
8:45 a.m. – 9:45 a.m.

Cynthia Rudin is Earl D. McLean Jr. Professor of Computer Science, Electrical and Computer Engineering, Statistical Science, Mathematics, Biostatistics, and Bioinformatics at Duke University. She directs the Interpretable Machine Learning Lab with the goal of designing predictive models people can understand. Her lab applies machine learning in areas such as health care, criminal justice, and energy reliability.

Cynthia Rudin, Duke University
Cynthia Rudin, Duke University

Rudin holds an undergraduate degree from the University at Buffalo and a PhD from Princeton University. She is the recipient of the 2022 Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity from the Association for the Advancement of Artificial Intelligence. She is also a three-time winner of the INFORMS Innovative Applications in Analytics Award and a 2022 Guggenheim Fellow. She is a fellow of the American Statistical Association, Institute of Mathematical Statistics, and Association for the Advancement of Artificial Intelligence. Finally, she is a member of the National Academy of Sciences, Engineering, and Medicine Committee on Facial Recognition Technology and the US National AI Advisory Committee Subcommittee on AI and Law Enforcement. Her work and opinions have been featured in news outlets such as the NY Times, Washington Post, Wall Street Journal, Boston Globe, Businessweek, NPR, The Hill, CNN, and the Raleigh News & Observer.

 

Key Dates

  • April 5, 2023 – May 15, 2023
    Short Course & Tutorials Submission
  • May 17, 2023 – August 18, 2023
    Concurrent Session Submission
  • July 6, 2023 – August 21, 2023
    Poster Abstract Submission
  • October 5, 2023
    Early Registration Opens
  • October 5, 2023
    Housing Opens
  • November 27, 2023
    Speaker Registration Deadline
  • January 31, 2024
    Regular Registration (increased fees apply)
  • February 5, 2024
    Housing Deadline
  • February 27, 2024 – February 29, 2024
    Conference on Statistical Practice 2024