My research focuses on design and mathematical understanding of computationally efficient algorithms for optimization, machine learning, signal processing, high dimensional statistics, and computational imaging.
Lately, I've been developing and analyzing algorithms for non-convex optimization with provable guarantees of convergence to the global optimum. A particular focus on the application side has been on computational imaging. More recently, I have also been working on machine intelligence and healthcare applications. Here is a copy of my CV.
Robust Subspace Clustering.
- Stanford Biostatistics Seminar, February 2014.
- ICML Spectral Learning Workshop, June 2013.
- Asilomar Conference on Signals, Systems, and Computers.
- MURI annual meeting, Princeton, October 2012.
- Information Theory and Applications workshop, Feb. 2013.
- CS 229: Machine Learning, Fall 2012.
- EE 278: Statistical Signal Processing, Summer 2010.
- Math 104: Linear Algebra, Winter 2012.
I am currently collaborating with Nava College Prepatory Academy
a school in Compton to help improve K-12 math/STEM education. I will be posting more details about
these activities including curriculum development, lecture notes, excersize/puzzles, data modules etc. on this website (please check back for updates).
I have also partnered with
VAST: Viterbi Adopt-a-School Adopt-a-Teacher (VAST) and STEM educational outreach programs at USC Viterbi School of Engineering to engage in various educational outreach activities
in local middle/high schools close to USC e.g. see VAST's reporting on one such activity
here and stay tunned for more updates.