About Me

I am a Research Staff Member in the Mathematics of AI group at IBM T.J. Watson Research Center. Previously, I was a Goldstine Postdoctoral Fellow at IBM. My research interests are in Machine Learning, Numerical Linear and Tensor Algebra, and Coding Theory Applications. In particular, my research work has focused on the use of computational linear algebra tools and error correcting coding theory for solving problems related to machine learning, data analysis and signal processing. Currently, I am working on methods for quantum topological data analysis and graph based neural networks.

New preprint on quantum topological data analysis with linear depth circuit.

Recently, my collegues and I taught Mathematics of Big Data: Sketching and (Multi-) Linear Algebra at Mathematical Sciences Research Institute Berkeley summer school.

Education

• University of Minnesota, Minneapolis, MN, USA

  • Ph.D Computer Science Sept. 2014 - May 2018
    Advisor: Yousef Saad

  • M.S. in Computer Science Sept. 2013 - Oct. 2015
    Project: Low rank approximation using error correcting codes
    Advisor: Yousef Saad

  • M.S. in Electrical Engineering Sept. 2012 - Nov. 2014
    Thesis: Randomized techniques for matrix decomposition and estimating the approximate matrix ranks
    Advisors: Yousef Saad and Arya Mazumdar

• M.S. Ramaiah Institute of Technology, Bangalore, India

  • B.Eng. in Electronics and Communication Sept. 2008 - May 2012
    Final Project: RADARS: Determining Doppler, Ranging and Imaging