I am an Associate Professor of Electrical Engineering at the Harvard John A. Paulson School of Engineering and Applied Sciences.
My research interests include theoretical and algorithmic aspects of high-dimensional signal and information processing, imaging, multidimensional sampling theory, multiscale geometrical representations, and image processing.
- (11/08/18) New paper: Optimal spectral method for high-dimensional signal estimation
- (10/19/18) Elected to the Big Data Special Interest Group (SIG) of the IEEE Signal Processing Society
- (09/26/18) New paper: Nonconvex optimization meets low-rank matrix factorization
- (05/27/18) Phase retrieval via polytope optimization: Geometry, phase transitions, and new algorithms
- (05/08/18) Subspace estimation from incomplete observations: a high dimensional analysis
- (05/02/18) Paper to appear at the Proceedings of the IEEE (Streaming PCA and subspace tracking: the missing data case)
- (04/16/18) ICASSP tutorial on nonconvex methods for high-dimensional statistical estimation (slides available online)
- (12/11/17) Best Student Paper Award (First Prize) at IEEE CAMSAP
- (12/06/17) Understanding the Dynamics of Online Learning Algorithms via Scaling and Mean-Field Limits
- (09/12/17) The Scaling Limit of High-Dimensional ICA (NIPS spotlight)
- (08/15/17) Fundamental Limits of PhaseMax for Phase Retrieval: A Replica Analysis
- (04/03/17) Exact high-dimensional analysis of subspace learning from highly incomplete information
- (02/21/17) Phase transitions of spectral initialization for nonconvex estimation
- (11/24/16) Average-Case Performance Analysis of ProSparse and Phase Transitions
- (09/09/16) Dynamics and phase transitions of online sparse PCA in high dimensions
- (07/10/16) Kaczmarz method for solving quadratic equations
- (06/30/16) Research Leave at Duke University
- (01/01/16) I am now an Associate Professor of Electrical Engineering at Harvard SEAS.
- (12/24/15) I have been elected to the IEEE SPTM Technical Committee
- (12/11/15) Seminar at MIT RLE