Paper 'Homotopy Analysis for Tensor PCA' accepted at COLT 2017 (with Anima Anandkumar, Yuan Deng, Rong Ge).
Organized the NIPS 2016 workshop on nonconvex optimization.
Invited talk 'Off The Convex Optimization' at NIPS 2015 workshop on nonconvex optimization.
Paper 'Learning with a Wasserstein Loss' accepted at NIPS 2015.
Paper 'The Aperture Problem for Refractive Motion' accepted at CVPR 2015.
Research on nonconvex optimization featured in MIT News.
Published in top-tier venues including AAAI, CVPR, NIPS, COLT on topics such as Gaussian smoothing, RNN training via diffusion, Wasserstein loss, and refractive motion analysis.
Background
Research Scientist in the Machine Perception team at Google Research since May 2016.
Broadly interested in Artificial Intelligence, specifically at the intersection of Computer Vision, Machine Learning, and Optimization.
Research is often guided by mathematical principles.
Previously a Postdoctoral Researcher at MIT's CSAIL, affiliated with the Computer Vision and Sensing, Learning, Inference labs.
Collaborated with Profs. Bill Freeman and John Fisher.
Admin of the Facebook page on Nonconvex Optimization.