Aarti Singh, Ph.D.

Aarti Singh is an Associate Professor in the Machine Learning Department in the School of Computer Science at Carnegie Mellon University. Before this, she was a Postdoctoral Research Associate at the Program in Applied and Computational Mathematics at Princeton University and prior to that received her Ph.D. degree in Electrical Engineering from the University of Wisconsin-Madison. Her research lies at the intersection of machine learning, statistics and signal processing, and focuses on designing intelligent statistically and computationally efficient algorithms that use feedback to guide learning and decision-making. She is particularly interested in applications of machine learning for enabling social and scientific discoveries. Her work is recognized by an NSF Career Award, the United States Air Force Young Investigator Award, A. Nico Habermann Junior Faculty Chair Award, Harold A. Peterson Best Dissertation Award, and three best student paper awards. Her service honors include serving as a member of the National Academy of Sciences (NAS) committee on Applied and Theoretical Statistics, Program Chair for the International Conference on Machine Learning (ICML) 2020 and Artificial Intelligence and Statistics (AISTATS) 2017 conferences, guest editor for Electronic Journal of Statistics, and Associate Editor of the IEEE Transactions on Information Theory.