Dr. Aarti Singh is an Associate Professor in the Machine Learning Department at Carnegie Mellon University. Her research lies at the intersection of machine learning, statistics, and signal processing, and focuses on designing statistically and computationally efficient algorithms that can interactively leverage inherent structure in the data, and its application to scientific domains. She received a B.E. in electronics and communication engineering from the University of Delhi in 1997, and a M.S. and Ph.D. in electrical engineering from the University of Wisconsin-Madison in 2003 and 2008, respectively. Dr. Singh was a postdoctoral research associate at the Program in Applied and Computational Mathematics at Princeton University, before joining CMU in 2009. Her work is recognized by an NSF Career Award, a United States Air Force Young Investigator Award, A. Nico Habermann Junior Faculty Chair Award, Harold A. Peterson Best Dissertation Award, and four best student paper awards. Her service honors include serving as program chair for the International Conference on Machine Learning (ICML) 2020, program chair for Artificial Intelligence and Statistics (AISTATS) 2017 conference, associate editor for IEEE Transactions of Information Theory and IEEE Transactions on Signal and Information Processing over Networks, expert team member for ONR/NIST TMS S&T study on AI for Materials and Manufacturing innovation, steering committee for NSF innovation lab on data-driven chemistry, and the National Academy of Sciences (NAS) committee on Applied and Theoretical Statistics.