About Me

I am a Goldstine Postdoctoral Fellow at IBM T.J. Watson Research Center. My research interests are in Machine Learning, Numerical Linear 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. I am also interested in the use of machine learning for scientific data applications, particularly in neuroscience and material science (material informatics). Currently, I am working on methods for large scale multilabel classification and graph based neural networks.

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