Aarti Singh
Professor | Carnegie Mellon University
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Aarti Singh researches machine learning, statistics and signal processing, focusing on algorithms for learning and decision making.
Biography
Aarti Singh received her Ph.D. degree in Electrical and Computer Engineering from the University of Wisconsin-Madison in 2008. She was a Postdoctoral Research Associate at the Program in Applied and Computational Mathematics at Princeton University from 2008-2009, before joining the School of Computer Science at Carnegie Mellon.
Her research lies at the intersection of machine learning, statistics and signal processing, and focuses on designing principled interactive algorithms for learning and decision making.
Her work is recognized by an NSF Career Award, a United States Air Force Young Investigator Award, A. Nico Habermann Faculty Chair Award, Harold A. Peterson Best Dissertation Award, and multiple paper awards. She has served on the National Academy of Sciences (NAS) committee on Applied and Theoretical Statistics, World Economic Forum expert network, lead expert on multiple NAS and ONR/NIST study committees, Program Chair for the International Conference on Machine Learning (ICML) 2020 and Artificial Intelligence and Statistics (AISTATS) 2017 conference, Associate Editor for IEEE Transactions on Information Theory, and Action Editor for Journal of Machine Learning Research.
