Affiliation:
Associate Professor, Computer Science, Electrical and Computer Engineering, and Statistics, Duke University
Educational Background:
University at Buffalo
PhD, Applied and Computational Mathematics, Princeton
About Cynthia
Cynthia Rudin directs the Prediction Analysis Lab at Duke University. Previously, she held positions at MIT, Columbia, and NYU.
Cynthia is the recipient of the 2013 and 2016 INFORMS Innovative Applications in Analytics Award and an NSF CAREER award. She was named one of the “Top 40 Under 40” by Poets and Quants in 2015 and one of the 12 most impressive professors at MIT in 2015 by Businessinsider.com.
She is past chair of the INFORMS Data Mining Section and ASA Statistical Learning and Data Science Section. Cynthia also serves on (or has served on) committees for DARPA, the National Institute of Justice, the National Academy of Sciences (both statistics and criminology/law), and AAAI.
Cynthia became interested in machine learning because she wanted to predict the future. One of her greatest accomplishments is that her work has showed that interpretable models can be just as accurate as complex machine learning models for many problems in health care and criminal justice. She says, “We don’t need black boxes!”
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