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Cynthia Rudin

Associate Professor of Computer Science, Electrical and Computer Engineering, and Statistics at Duke University

Published onApr 10, 2020
Cynthia Rudin

Cynthia Rudin - Interpretable ML for Recidivism Prediction - The Frontiers of Machine Learning

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. Prof. Rudin has held positions at MIT, Columbia, and 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 INFORMS Innovative Applications in Analytics Awards, an NSF CAREER award, and was named by 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 DARPA, the National Institute of Justice, the National Academy of Sciences (for both statistics and criminology/law), and AAAI.


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