Cynthia Rudin is an associate professor of computer science, electrical and computer engineering, and statistics at Duke University, and directs the Prediction Analysis Lab. Her interests are in machine learning and data science. Professor Rudin has held positions at Massachusetts Institute of Technology (MIT), Columbia, and New York University (NYU). She holds an undergraduate degree from the University at Buffalo, and a PhD from Princeton University. She is the recipient of the 2013 and 2016 Institute for Operations Research and the Management Sciences (INFORMS) Innovative Applications in Analytics Awards, an National Science Foundation (NSF) CAREER award, and was named by Businessinsider.com as one of the 12 most impressive professors at MIT in 2015. She is past chair of the INFORMS Data Mining Section, and is currently chair of the Statistical Learning and Data Science section of the American Statistical Association. She also serves on (or has served on) committees for Defense Advanced Research Projects Agency (DARPA), the National Institute of Justice, the National Academy of Sciences (for both statistics and criminology/law), and Association for the Advancement of Artificial Intelligence (AAAI).
Cynthia Rudin - Interpretable ML for Recidivism Prediction - The Frontiers of Machine Learning