A. Nico Habermann Associate Professor, Machine Learning
Dr. Singh's research interests lie at the intersection of signal processing, statistics and machine learning. She is interested in developing techniques that can adaptively exploit the structure inherent in data from complex and large-scale systems for statistically and computationally efficient inference. The primary thrust of her research is on bridging the gap between theoretically optimal and practically useful methods, for applications including networked systems, brain imaging and bioinformatics.
Her work is recognized by an NSF Career Award, a United States Air Force Young Investigator Award, A. Nico Habermann Faculty Chair Award, and Harold A. Peterson Best Dissertation Award.
Singh received her B.E. in Electronics and Communication Engineering from the University of Delhi in 2001, and M.S. and Ph.D. degrees in Electrical Engineering from the University of Wisconsin-Madison in 2003 and 2008, respectively. She was a Postdoctoral Research Associate at the Program in Applied and Computational Mathematics at Princeton University from 2008-2009 before joining Carnegie Mellon.